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Ο ρόλος του Συμβούλου Υποστήριξης Εφαρμογών Λογιστικού Γραφείου είναι η διαχείριση και εξυπηρέτηση αιτημάτων που αφορούν στη χρήση των εφαρμογών της Epsilon Net για τα Λογιστικά Γραφεία και τα Λογιστήρια εταιριών. Ο μεγαλύτερος όγκος των αιτημάτων εξυπηρετούνται τόσο τηλεφωνικά, όσο μέσω livechat και των social media, αξιοποιώντας όλα τα σύγχρονα εργαλεία της σύγχρονης εποχής, διασφαλίζοντας ταυτόχρονα την άρτια εξυπηρέτηση και εκπαίδευση των πελατών μας.
Η καθημερινότητα του τμήματος μας είναι γεμάτη προκλήσεις, γνώση και συνεργασία. Στόχος μας είναι οι πελάτες μας να απολαμβάνουν πάντα τη βέλτιστη εμπειρία εξυπηρέτησης και παράλληλα όλοι οι άνθρωποι της ομάδας μας να προοδεύουν και να απολαμβάνουν την εργασία τους. Αυτό αποδεικνύεται από τις συνεχείς βραβεύσεις του Τμήματος, όπως, μεταξύ άλλων, διάκριση για την Ποιοτική Εξυπηρέτηση Πελατών αλλά και Καλύτερου Εργασιακού Περιβάλλοντος, αντίστοιχα.
Ο ρόλος αποτελεί την αφετηρία μιας λαμπρής πορείας ενδοτμηματικά, ενδοεταιρικά και ενδοομιλικά, καθώς προσφέρει πληθώρα γνώσεων και ευκαιριών για εξέλιξη και πρόοδο!
Αν λοιπόν, είσαι φιλόδοξος, έχεις άριστες επικοινωνιακές δεξιότητες και πελατοκεντρική αντίληψη, διαθέτεις ομαδικό πνεύμα και κριτική σκέψη, τότε στείλε μας την αίτησή σου για να αποκτήσεις την εμπειρία της επικοινωνίας με τους καλύτερους εκπροσώπους του Λογιστικού κλάδου και να γίνεις μέλος της ομάδας μας!
Απαραίτητα Προσόντα:
• Τουλάχιστον 2 έτη προϋπηρεσίας σε λογιστικό γραφείο ή λογιστήριο εταιρίας
• Γενικές γνώσεις λογιστικής/ φορολογίας εισοδήματος
• Ευχέρεια στο γραπτό και προφορικό λόγο
• Πολύ καλή γνώση MS Office
H εταιρεία προσφέρει:
• Πολυβραβευμένο Εργασιακό Περιβάλλον (Fortune’s 100 Best Companies to Work For in Europe 2024, 10 Best Workplaces Hellas, 4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2 Best Workplace in Technology).
• Ανταγωνιστικό πακέτο αποδοχών
• Διαρκείς εκπαιδεύσεις και σημαντικές προοπτικές εξέλιξης
• Ιδιωτική ιατροφαρμακευτική ασφάλιση
• Ψυχολογική γραμμή υποστήριξης
• Διαδικτυακά μαθήματα γυμναστικής
• Δωρεάν συμμετοχή στα εκπαιδευτικά προγράμματα του Epsilon Training και Epsilοn College
• Υβριδικό μοντέλο εργασίας

Ο ρόλος του Συμβούλου Υποστήριξης Εφαρμογών Λογιστικού Γραφείου είναι η διαχείριση και εξυπηρέτηση αιτημάτων που αφορούν στη χρήση των εφαρμογών της Epsilon Net για τα Λογιστικά Γραφεία και τα Λογιστήρια εταιριών. Ο μεγαλύτερος όγκος των αιτημάτων εξυπηρετούνται τόσο τηλεφωνικά, όσο μέσω livechat και των social media, αξιοποιώντας όλα τα σύγχρονα εργαλεία της σύγχρονης εποχής, διασφαλίζοντας ταυτόχρονα την άρτια εξυπηρέτηση και εκπαίδευση των πελατών μας.Η καθημερινότητα του τμήματος μας είναι γεμάτη προκλήσεις, γνώση και συνεργασία. Στόχος μας είναι οι πελάτες μας να απολαμβάνουν πάντα τη βέλτιστη εμπειρία εξυπηρέτησης και παράλληλα όλοι οι άνθρωποι της ομάδας μας να προοδεύουν και να απολαμβάνουν την εργασία τους. Αυτό αποδεικνύεται από τις συνεχείς βραβεύσεις του Τμήματος, όπως, μεταξύ άλλων, διάκριση για την Ποιοτική Εξυπηρέτηση Πελατών αλλά και Καλύτερου Εργασιακού Περιβάλλοντος, αντίστοιχα.Ο ρόλος αποτελεί την αφετηρία μιας λαμπρής πορείας ενδοτμηματικά, ενδοεταιρικά και ενδοομιλικά, καθώς προσφέρει πληθώρα γνώσεων και ευκαιριών για εξέλιξη και πρόοδο!Αν λοιπόν, είσαι φιλόδοξος, έχεις άριστες επικοινωνιακές δεξιότητες και πελατοκεντρική αντίληψη, διαθέτεις ομαδικό πνεύμα και κριτική σκέψη, τότε στείλε μας την αίτησή σου για να αποκτήσεις την εμπειρία της επικοινωνίας με τους καλύτερους εκπροσώπους του Λογιστικού κλάδου και να γίνεις μέλος της ομάδας μας!Απαραίτητα Προσόντα:• Τουλάχιστον 2 έτη προϋπηρεσίας σε λογιστικό γραφείο ή λογιστήριο εταιρίας• Γενικές γνώσεις λογιστικής/ φορολογίας εισοδήματος• Ευχέρεια στο γραπτό και προφορικό λόγο• Πολύ καλή γνώση MS OfficeH εταιρεία προσφέρει:• Πολυβραβευμένο Εργασιακό Περιβάλλον (Fortune’s 100 Best Companies to Work For in Europe 2024, 10 Best Workplaces Hellas, 4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2 Best Workplace in Technology).• Ανταγωνιστικό πακέτο αποδοχών• Διαρκείς εκπαιδεύσεις και σημαντικές προοπτικές εξέλιξης• Ιδιωτική ιατροφαρμακευτική ασφάλιση• Ψυχολογική γραμμή υποστήριξης• Διαδικτυακά μαθήματα γυμναστικής• Δωρεάν συμμετοχή στα εκπαιδευτικά προγράμματα του Epsilon Training και Epsilοn College• Υβριδικό μοντέλο εργασίας

Σύμβουλος Υποστήριξης Εφαρμογών Λογιστικού Γραφείου Θεσσαλονίκη 

Responsibilities:
Translate business requirements into ERP functional and configuration requirements
Participate in analyzing customer needs and identifying opportunities for improvement
Liaise with the R&D department for developing custom solution components when required
Provide ongoing support to our growing customer base of Pylon ERP software implementations
Manage testing and documenting of the ERP software configuration
Perform customer needs analysis and participate in business process solutions design and architecture
Compose development specifications and interact with customers to test modifications and resolve any issues that may arise
Be in charge of the completeness and quality of functional design
Provide user training to customers

Requirements:
At least 3 - 4 years experience in providing ERP software solution Services
Experience in Pylon ERP is a considerable plus
Computer Science or Economics or Finance Degree or equivalent
Strong presentation, communication (both written & oral) skills
Strong ability to convey technical information to non-technical customers
Self - direction, attention to detail & great customer focus
Excellent command of English, both written and oral
Preferred knowledge in SQL & Javascript

We Offer:
Multi-awarded working environment (Fortune’s 100 Best Companies to Work For in Europe 2024, 10 Best Workplaces Hellas, 4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2 Best Workplace in Technology Awards)
Competitive remuneration package
Ongoing training, opportunities & career development
Private medical insurance
Psychological support line
Online personal- training programs
Free participation in Epsilon Training & Epsilon College educational programs
Hybrid working model

Responsibilities:<ul><li>Translate business requirements into ERP functional and configuration requirements</li><li>Participate in analyzing customer needs and identifying opportunities for improvement</li><li>Liaise with the R&amp;D department for developing custom solution components when required</li><li>Provide ongoing support to our growing customer base of Pylon ERP software implementations</li><li>Manage testing and documenting of the ERP software configuration</li><li>Perform customer needs analysis and participate in business process solutions design and architecture</li><li>Compose development specifications and interact with customers to test modifications and resolve any issues that may arise</li><li>Be in charge of the completeness and quality of functional design</li><li>Provide user training to customers</li></ul> Requirements:<ul><li>At least 3 - 4 years experience in providing ERP software solution Services</li><li>Experience in Pylon ERP is a considerable plus</li><li>Computer Science or Economics or Finance&nbsp;Degree or equivalent</li><li>Strong presentation, communication (both written &amp; oral) skills</li><li>Strong ability to convey technical information to non-technical customers</li><li>Self - direction, attention to detail &amp; great customer focus</li><li>Excellent command of English, both written and oral</li><li>Preferred knowledge in SQL &amp; Javascript</li></ul> We Offer:<ul><li>Multi-awarded working environment (Fortune’s 100 Best Companies to Work For in Europe 2024,&nbsp;10 Best Workplaces Hellas,&nbsp;4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2&nbsp;Best Workplace in Technology&nbsp;Awards)</li><li>Competitive remuneration package</li><li>Ongoing training, opportunities &amp; career development</li><li>Private medical insurance</li><li>Psychological support line</li><li>Online personal- training programs</li><li>Free participation in Epsilon Training &amp; Epsilon College educational programs</li><li>Hybrid working model</li></ul>

ERP Consultant Thessaloniki

Epsilon Net S.A., the largest IT group of companies in Greece and No.1 Best Workplace in Tech 2023, is seeking for the department of R&D, a .NET Desktop Developer.
Responsibilities:
Design and development of new desktop software products and components with the use of .Net
Build and maintain efficient and reliable code
Provide solutions in technical problems
Deliver work that concisely addresses outlined requirements within appropriate timeframes
Upgrade specific information flow using new desktop technologies and architecture
Requirements:
Bachelor's or Master's Degree in Computer Science, Engineering or related field.
3 - 5 years of experience in business application design and development is required.
Excellent knowledge of desktop application development using Microsoft .NET Framework C# (WinForms).
Excellent knowledge of Microsoft SQL Server.
Desired knowledge and/or experience with DevExpress controls.
Desirable knowledge and/or experience with HTML, Web services.
Experience with Git.
Experience in designing and analyzing merchandising applications.
Very good knowledge of the English language.
Spirit of cooperation and teamwork.
Pleasant and dynamic personality.

We Offer:
Multi-awarded working environment (Fortune’s 100 Best Companies to Work For in Europe 2024, 10 Best Workplaces Hellas, 4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2 Best Workplace in Technology Awards).
Competitive remuneration package.
Ongoing training, opportunities & career development.
Private medical insurance.
Psychological support line.
Online personal- training programs.
Free participation in Epsilon Training & Epsilon College educational programs.
Remote working model.

Epsilon Net S.A.,&nbsp;the largest IT group of companies in Greece&nbsp;and&nbsp;No.1 Best Workplace in Tech 2023,&nbsp;is seeking for the department of R&amp;D, a&nbsp;.NET Desktop Developer.Responsibilities:<ul><li>Design and development of new desktop software products and components with the use of .Net</li><li>Build and maintain efficient and reliable code</li><li>Provide solutions in technical problems</li><li>Deliver work that concisely addresses outlined requirements within appropriate timeframes</li><li>Upgrade specific information flow using new desktop technologies and architecture</li></ul>Requirements:<ul><li>Bachelor's or Master's Degree in Computer Science, Engineering or related field.</li><li>3 - 5 years of experience in business application design and development is required.</li><li>Excellent knowledge of desktop application development using Microsoft .NET Framework C# (WinForms).</li><li>Excellent knowledge of Microsoft SQL Server.</li><li>Desired knowledge and/or experience with DevExpress controls.</li><li>Desirable knowledge and/or experience with HTML, Web services.</li><li>Experience with Git.</li><li>Experience in designing and analyzing merchandising applications.</li><li>Very good knowledge of the English language.</li><li>Spirit of cooperation and teamwork.</li><li>Pleasant and dynamic personality.</li></ul> We Offer:<ul><li>Multi-awarded working environment (Fortune’s 100 Best Companies to Work For in Europe 2024,&nbsp;10 Best Workplaces Hellas,&nbsp;4 Best Workplaces Europe, 2 Best Workplaces™ for Women, 2 Best Workplace in Technology&nbsp;Awards).</li><li>Competitive remuneration package.</li><li>Ongoing training, opportunities &amp; career development.</li><li>Private medical insurance.</li><li>Psychological support line.</li><li>Online personal- training programs.</li><li>Free participation in Epsilon Training &amp; Epsilon College educational programs.</li><li>Remote working model.</li></ul>

.NET Desktop Software Engineer Thessaloniki

You will build and manage R&D data solutions, leveraging your technical skills to design, develop, analyze, and engineer robust solutions that drive business outcomes. This includes data modeling and design, relational database architecture, metadata and repository creation, and configuration management. You will use your knowledge of data mapping, mining, and transformation to design and develop data-driven solutions. You will determine data storage and optimum storage requirements, and prepare system requirements, source analysis, process analysis, and design throughout the solution implementation.
As a Data Solutions Engineer, your expertise in the principles and concepts of the discipline, along with comprehensive knowledge of other disciplines, will enable you to guide projects across the division. Your ability to develop and manage plans will help achieve objectives, interpret internal and external business challenges, and recommend best practices for improvements. While managing project environments, you will anticipate and troubleshoot roadblocks and collaborate with teams to achieve division targets.
Your hard work and focus will help Pfizer achieve new milestones and help patients across the globe.
How You Will Achieve It
Design, develop, and deliver projects that incorporate standards for data lakes, analytical reporting, and web-based analytics solutions to achieve business outcomes.
Engage with business stakeholders to prioritize business requirements and identify opportunities for technical synergy.
Develop technical solutions aligned with business requirements across the Pfizer AIDA R&D organization.
Collaborate with Platform teams for platform and infrastructure enablement, including platform/tool selections, architecture, estimation, and technical solution design.
Partner with the AIDA solutions architecture team to ensure solutions are delivered with long-term viability in mind.
Ensure compliance with regulatory requirements and Pfizer software development lifecycle standards.
Additional Key Responsibilities:
Data Architecture: Co-design and implement scalable data architectures for dynamic business use-cases.
Data Quality: Ensure data accuracy and integrity across all systems.
ETL Processes: Design and develop ETL processes to support data integration and analytics.
BASIC QUALIFICATIONS 
Bachelor's Degree with 5+ years of experience with data engineering
Proven knowledge and experience managing pharmaceutical clinical and scientific data including clinical trial data
Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights
Proven experience engineering end-to-end data solutions which cut across data acquisition, data lakes, web based analytical solutions
Strong collaboration and communication skills within and across teams
Ability to work independently and as part of a team
PREFERRED QUALIFICATIONS
Master's degree
Relevant pharmaceutical industry experience
Graduate degree in either a technical or management discipline
Knowledge of the pharmaceutical industry, preferably within Research and Development

Work Location Assignment: Hybrid

You will build and manage R&amp;D data solutions, leveraging your technical skills to design, develop, analyze, and engineer robust solutions that drive business outcomes. This includes data modeling and design, relational database architecture, metadata and repository creation, and configuration management. You will use your knowledge of data mapping, mining, and transformation to design and develop data-driven solutions. You will determine data storage and optimum storage requirements, and prepare system requirements, source analysis, process analysis, and design throughout the solution implementation.As a Data Solutions Engineer, your expertise in the principles and concepts of the discipline, along with comprehensive knowledge of other disciplines, will enable you to guide projects across the division. Your ability to develop and manage plans will help achieve objectives, interpret internal and external business challenges, and recommend best practices for improvements. While managing project environments, you will anticipate and troubleshoot roadblocks and collaborate with teams to achieve division targets.Your hard work and focus will help Pfizer achieve new milestones and help patients across the globe.How You Will Achieve It<ul><li>Design, develop, and deliver projects that incorporate standards for data lakes, analytical reporting, and web-based analytics solutions to achieve business outcomes.</li><li>Engage with business stakeholders to prioritize business requirements and identify opportunities for technical synergy.</li><li>Develop technical solutions aligned with business requirements across the Pfizer AIDA R&amp;D organization.</li><li>Collaborate with Platform teams for platform and infrastructure enablement, including platform/tool selections, architecture, estimation, and technical solution design.</li><li>Partner with the AIDA solutions architecture team to ensure solutions are delivered with long-term viability in mind.</li><li>Ensure compliance with regulatory requirements and Pfizer software development lifecycle standards.</li></ul>Additional Key Responsibilities:<ul><li>Data Architecture: Co-design and implement scalable data architectures for dynamic business use-cases.</li><li>Data Quality: Ensure data accuracy and integrity across all systems.</li><li>ETL Processes: Design and develop ETL processes to support data integration and analytics.</li></ul>BASIC QUALIFICATIONS <ul><li>Bachelor's Degree with 5+ years of experience with data engineering</li><li>Proven knowledge and experience managing pharmaceutical clinical and scientific data including clinical trial data</li><li>Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights</li><li>Proven experience engineering end-to-end data solutions which cut across data acquisition, data lakes, web based analytical solutions</li><li>Strong collaboration and communication skills within and across teams</li><li>Ability to work independently and as part of a team</li></ul>PREFERRED QUALIFICATIONS<ul><li>Master's degree</li><li>Relevant pharmaceutical industry experience</li><li>Graduate degree in either a technical or management discipline</li><li>Knowledge of the pharmaceutical industry, preferably within Research and Development</li></ul> Work Location Assignment:&nbsp;Hybrid

Manager, Data Solutions Engineer

As a Senior Manager, Data Solutions Engineer, your advanced knowledge of the principles and concepts in the discipline, along with comprehensive knowledge of other disciplines, will enable you to lead complex projects across the division. Your ability to develop and manage plans will facilitate achieving objectives, interpreting internal and external business challenges, and recommending best practices for improvements. While managing complex project environments, you will be able to anticipate and troubleshoot roadblocks and influence teams to achieve targets for the division.
You will help us build and manage R&D data solutions while leveraging your technical skills to design, develop, analyze, and engineer robust solutions that drive business outcomes. This will include working on data modeling and design, relational database architecture, metadata and repository creation, and configuration management. You will leverage your knowledge of data mapping, mining, and transformation to design and develop data-driven solutions. You will be relied on to determine data storage and optimum storage requirements. You will prepare system requirements, source analysis, process analysis, and design throughout the solution implementation.
Additionally, you will manage contractors for projects when needed, ensuring that external resources are effectively integrated into the team and project goals are met.
It is your hard work and focus that will help Pfizer achieve new milestones and help patients across the globe.
How You Will Achieve It
Design, develop, lead, and deliver projects that incorporate standards for data lakes, analytical reporting, and web-based analytics solutions to achieve business outcomes
Partner with other Pfizer Digital teams to define and execute technology-focused Proof of Concepts (POCs) using innovative technologies to advance Pfizer’s current capabilities
Engage with business stakeholders to help lead the prioritization of business requirements while identifying opportunities for technical synergy
Develop technical solutions aligned with business requirements across the Pfizer AIDA R&D organization
Work collaboratively with Platform teams for platform and infrastructure enablement, including platform/tool selections, architecture, estimation, and technical solution design
Partner with the AIDA solutions architecture team to ensure solutions are delivered with long-term viability in the forefront
Ensuring compliance with regulatory requirements and Pfizer software development lifecycle standards
Additional Key Responsibilities:
Data Architecture: Oversee the design and implementation of scalable data architectures.
Data Quality: Ensure data accuracy and integrity across all systems.
ETL Processes: Design and manage ETL processes to support data integration and analytics.
BASIC QUALIFICATIONS 
Bachelor's Degree
7+ years of experience with data or software engineering
Demonstrated success embedding algorithms in production applications.
Diverse leadership experiences and capabilities including the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact
Proven knowledge and experience managing pharmaceutical clinical and scientific data including clinical trial data
Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights
Proven experience engineering end to end data solutions which cut across data acquisition, data lakes, web based analytical solutions.
Strong collaboration and communication skills within and across teams
Ability to work independently and as part of a team
PREFERRED QUALIFICATIONS
Master's degree
Relevant pharmaceutical industry experience
Graduate degree in either a technical or management discipline
Management consultant experience
Knowledge of the pharmaceutical industry, preferably within Research and Development

Work Location Assignment: Hybrid

As a Senior Manager, Data Solutions Engineer, your advanced knowledge of the principles and concepts in the discipline, along with comprehensive knowledge of other disciplines, will enable you to lead complex projects across the division. Your ability to develop and manage plans will facilitate achieving objectives, interpreting internal and external business challenges, and recommending best practices for improvements. While managing complex project environments, you will be able to anticipate and troubleshoot roadblocks and influence teams to achieve targets for the division.You will help us build and manage R&amp;D data solutions while leveraging your technical skills to design, develop, analyze, and engineer robust solutions that drive business outcomes. This will include working on data modeling and design, relational database architecture, metadata and repository creation, and configuration management. You will leverage your knowledge of data mapping, mining, and transformation to design and develop data-driven solutions. You will be relied on to determine data storage and optimum storage requirements. You will prepare system requirements, source analysis, process analysis, and design throughout the solution implementation.Additionally, you will manage contractors for projects when needed, ensuring that external resources are effectively integrated into the team and project goals are met.It is your hard work and focus that will help Pfizer achieve new milestones and help patients across the globe.How You Will Achieve It<ul><li>Design, develop, lead, and deliver&nbsp;projects that incorporate standards for data lakes, analytical reporting, and web-based analytics solutions to achieve business outcomes</li><li>Partner with other Pfizer Digital teams&nbsp;to define and execute technology-focused Proof of Concepts (POCs) using innovative technologies to advance Pfizer’s current capabilities</li><li>Engage with business stakeholders&nbsp;to help lead the prioritization of business requirements while identifying opportunities for technical synergy</li><li>Develop technical solutions&nbsp;aligned with business requirements across the Pfizer AIDA R&amp;D organization</li><li>Work collaboratively with Platform teams&nbsp;for platform and infrastructure enablement, including platform/tool selections, architecture, estimation, and technical solution design</li><li>Partner with the AIDA solutions architecture team&nbsp;to ensure solutions are delivered with long-term viability in the forefront</li><li>Ensuring compliance&nbsp;with regulatory requirements and Pfizer software development lifecycle standards</li></ul>Additional Key Responsibilities:<ul><li>Data Architecture: Oversee the design and implementation of scalable data architectures.</li><li>Data Quality: Ensure data accuracy and integrity across all systems.</li><li>ETL Processes: Design and manage ETL processes to support data integration and analytics.</li></ul>BASIC QUALIFICATIONS <ul><li>Bachelor's Degree</li><li>7+ years of experience with data or software engineering</li><li>Demonstrated success embedding algorithms in production applications.</li><li>Diverse leadership experiences and capabilities including the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact</li><li>Proven knowledge and experience managing pharmaceutical clinical and scientific data including clinical trial data</li><li>Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights</li><li>Proven experience engineering end to end data solutions which cut across data acquisition, data lakes, web based analytical solutions.</li><li>Strong collaboration and communication skills within and across teams</li><li>Ability to work independently and as part of a team</li></ul>PREFERRED QUALIFICATIONS<ul><li>Master's degree</li><li>Relevant pharmaceutical industry experience</li><li>Graduate degree in either a technical or management discipline</li><li>Management consultant experience</li><li>Knowledge of the pharmaceutical industry, preferably within Research and Development</li></ul> Work Location Assignment:&nbsp;Hybrid

Senior Manager, Data Solutions Engineer

The Workforce Platforms organization delivers solutions to support Pfizer’s enterprise applications, platforms, and critical business processes. At Pfizer, we believe that every individual holds a unique power that can be harnessed for a greater purpose. As an Associate in End Point Engineering, you will have the opportunity to use your skills and expertise to make a significant impact on global health. You will be part of a dynamic team that is at the forefront of developing innovative solutions in the pharmaceutical industry. Your role will be instrumental in driving our mission forward, contributing to our goal of creating a healthier world.
How You Can "Outdo Yesterday"
You are expected to support and manage the LRS VPSX and MFPsecure solutions
You will develop and maintain system documentation, including technical specifications, program logic, and flowcharts.
You will collaborate with other Pfizer teams to ensure seamless and efficient operations of Pfizer’s Managed Print devices.
In this role, you will conduct system analyses, evaluating the effectiveness of current solutions, and optimizing device performance to minimize any support escalations from our business users.
You will ensure compliance with company policies and procedures, as well as regulatory requirements.
Role Responsibilities:
In this role you will be required to troubleshoot enterprise printers remotely and resolve any issues that arise
In this role, you will contribute to project tasks and milestones, demonstrating your ability to organize and manage your work effectively to meet set deadlines.
You will have the opportunity to learn and apply basic team effectiveness skills within your immediate work team, fostering a collaborative and productive work environment.
Your role will require you to make decisions within limited options to resolve basic problems. While your decision-making authority may be limited, your input will be highly valued and contribute to the overall success of the team.
You will work in a structured environment, utilizing established procedures to ensure consistency and quality in your work. When in doubt, you are encouraged to ask for guidance from your peers.
Your work will be regularly reviewed for technical judgment, completeness, and accuracy. This feedback will help you to continually improve and develop your skills and knowledge.
You will exercise judgment in your role, with a reliance on your supervisor for guidance and support. This will allow you to grow in your role while ensuring that your work aligns with the team's objectives.
As an Associate in End Point Engineering, your contributions will be essential to the success of our projects. Your ability to manage your work, collaborate with your team, and make informed decisions will make a significant impact on our operations.
Your willingness to learn, adapt, and grow in a structured environment will be a key factor in your success in this role. Your work will not only be valued but will also be instrumental in driving our team forward.
You will have the opportunity to demonstrate your technical judgment, and your work will be reviewed regularly to ensure its completeness and accuracy. This will provide you with the opportunity to continually improve and develop your skills.
Your ability to exercise judgment, with a reliance on your supervisor, will be a key factor in your success in this role. This will allow you to grow professionally while ensuring that your work aligns with our team's objectives.
Basic Qualifications:
Academic degree in Computer Science, Information Systems, or equivalent experience.
Up to three years of experience in endpoint engineering, IT infrastructure, or a similar role.
Proven ability to troubleshoot, follow processes, and communicate with end users.
Willingness to learn and keep abreast of tools, techniques, and process improvements.
Preferred Qualifications:
You possess strong technical skills, with proficiency in various end point engineering tools and technologies.
Experience with virtual print software such as LRS VPSX and MFPsecure.
You demonstrate excellent problem-solving skills, with the ability to troubleshoot complex technical issues.
You have a proven track record of managing projects, showcasing your ability to meet deadlines and deliver results.
You possess strong communication skills, with the ability to explain technical concepts to non-technical audiences.
You have experience working in a team-oriented environment, demonstrating your ability to collaborate effectively with diverse groups of people.
You are committed to continuous learning and professional development, staying up to date with the latest trends and advancements in the field of end point engineering.
 
Work Location Assignment: Hybrid

The Workforce Platforms organization delivers solutions to support Pfizer’s enterprise applications, platforms, and critical business processes. At Pfizer, we believe that every individual holds a unique power that can be harnessed for a greater purpose. As an Associate in End Point Engineering, you will have the opportunity to use your skills and expertise to make a significant impact on global health. You will be part of a dynamic team that is at the forefront of developing innovative solutions in the pharmaceutical industry. Your role will be instrumental in driving our mission forward, contributing to our goal of creating a healthier world.How You Can "Outdo Yesterday"<ul><li>You are expected to support and manage the LRS VPSX and MFPsecure solutions</li><li>You will develop and maintain system documentation, including technical specifications, program logic, and flowcharts.</li><li>You will collaborate with other Pfizer teams to ensure seamless and efficient operations of Pfizer’s Managed Print devices.</li><li>In this role, you will conduct system analyses, evaluating the effectiveness of current solutions, and optimizing device performance to minimize any support escalations from our business users.</li><li>You will ensure compliance with company policies and procedures, as well as regulatory requirements.</li></ul>Role Responsibilities:<ul><li>In this role you will be required to troubleshoot enterprise printers remotely and resolve any issues that arise</li><li>In this role, you will contribute to project tasks and milestones, demonstrating your ability to organize and manage your work effectively to meet set deadlines.</li><li>You will have the opportunity to learn and apply basic team effectiveness skills within your immediate work team, fostering a collaborative and productive work environment.</li><li>Your role will require you to make decisions within limited options to resolve basic problems. While your decision-making authority may be limited, your input will be highly valued and contribute to the overall success of the team.</li><li>You will work in a structured environment, utilizing established procedures to ensure consistency and quality in your work. When in doubt, you are encouraged to ask for guidance from your peers.</li><li>Your work will be regularly reviewed for technical judgment, completeness, and accuracy. This feedback will help you to continually improve and develop your skills and knowledge.</li><li>You will exercise judgment in your role, with a reliance on your supervisor for guidance and support. This will allow you to grow in your role while ensuring that your work aligns with the team's objectives.</li><li>As an Associate in End Point Engineering, your contributions will be essential to the success of our projects. Your ability to manage your work, collaborate with your team, and make informed decisions will make a significant impact on our operations.</li><li>Your willingness to learn, adapt, and grow in a structured environment will be a key factor in your success in this role. Your work will not only be valued but will also be instrumental in driving our team forward.</li><li>You will have the opportunity to demonstrate your technical judgment, and your work will be reviewed regularly to ensure its completeness and accuracy. This will provide you with the opportunity to continually improve and develop your skills.</li><li>Your ability to exercise judgment, with a reliance on your supervisor, will be a key factor in your success in this role. This will allow you to grow professionally while ensuring that your work aligns with our team's objectives.</li></ul>Basic Qualifications:<ul><li>Academic degree in Computer Science, Information Systems, or equivalent experience.</li><li>Up to three years of experience in endpoint engineering, IT infrastructure, or a similar role.</li><li>Proven ability to troubleshoot, follow processes, and communicate with end users.</li><li>Willingness to learn and keep abreast of tools, techniques, and process improvements.</li></ul>Preferred Qualifications:<ul><li>You possess strong technical skills, with proficiency in various end point engineering tools and technologies.</li><li>Experience with virtual print software such as LRS VPSX and MFPsecure.</li><li>You demonstrate excellent problem-solving skills, with the ability to troubleshoot complex technical issues.</li><li>You have a proven track record of managing projects, showcasing your ability to meet deadlines and deliver results.</li><li>You possess strong communication skills, with the ability to explain technical concepts to non-technical audiences.</li><li>You have experience working in a team-oriented environment, demonstrating your ability to collaborate effectively with diverse groups of people.</li><li>You are committed to continuous learning and professional development, staying up to date with the latest trends and advancements in the field of end point engineering.</li></ul>&nbsp;Work Location Assignment:&nbsp;Hybrid

Associate, End Point Engineering

As the Director of Research & Development (R&D) Artificial Intelligence (AI) Innovation Engineering, you will be a thought leader and subject matter expert in the design and delivery of Pfizer R&D AI applications, driving the creation and delivery of innovative solutions to complex problems in the research and development pipeline. 
Your role will involve leveraging an environment of experimentation to influence direction, identifying multiple solutions and innovative options to solve uniquely complex problems with long-term effects on R&D. You will exercise foresight and judgment in initiating and guiding complex projects in unprecedented situations.
In this position working alongside AIDA R&D AI and Data Science leaders, you will help shape and steer the overarching vision and strategy for AI and Data innovative advancements in support of R&D, prototyping new technologies to address challenges and seize opportunities. You will collaborate effectively with internal teams and external partners, aligning efforts to achieve business objectives and meet customer needs.
The ideal candidate will have a proven track record of developing and executing strategic plans for groundbreaking AI/ML and innovation products and utilizing data and customer insights to inform decision-making. Your strong background in AI product creation and expertise in taking products from ideation to delivery using automation and modern practices will be essential. You will thrive in managing complex, uncertain environments, driving ideas to products and focusing on impactful outcomes.
Collaboration and partnership to achieve business objectives and meet customer needs will be key to this role’s success. You will build strong relationships with internal stakeholders, including Client Partners, the AI Center of Excellence, Platforms and Products teams, and the R&D Creation Center, ensuring alignment with broader organizational strategies.  
This role demands a passion for scaling technology initiatives and working in a fast-paced, try-destroy-retry environment within the domain of Research and Development. Your unwavering commitment to accomplishing ambitious goals that will propel the company forward will be instrumental in driving innovation, efficiency, and success.
ROLE RESPONSIBILITIES 
Leadership 
Influence the product roadmaps for data science and creation centers, focusing on developing and maintaining robust, scalable AI capabilities.
Stay on the forefront of technological advancements in the biopharma and life sciences space.
Cross-functional Collaboration: Collaborate with researchers, software engineers, and data science teams to create tools that better integrate research and practices.
Technical Vision and Strategy
Develop and execute a strategic roadmap for the long-term technical platform vision, ensuring alignment with the overall technological vision and objectives.
Drive continuous innovation and the adoption of new research and AI technologies to improve product experiences.
Technical Excellence: Maintain a standard of technical excellence, ensuring adherence to best practices in architecture, machine learning, and platform utilization.
Trust and Security
Foster a culture of trust and ethical AI practices, contributing to a team committed to deploying secure, state-of-the-art AI solutions that comply with global data protection and privacy standards.
Develop proof of concepts (POCs) and provide a blueprint for implementation.
Problem-Solving
Utilize AI/ML solutions to address complex, real-world challenges, applying theoretical knowledge to create and improve practical, impactful products and services.
Focus on accelerating delivery, moving the broader team forward, and gamifying innovation.
Lead by example and recognize success and failure.
Partner Collaboration: Collaborate with partner organizations to develop frameworks, data foundations, and architectures supporting the strategic vision.
QUALIFICATIONS 
BA/BS required  
10+ years of demonstrated progressive experience in AI/ML, Software Engineering, or Statistics. 
Leadership Experience:
5+ years in technology leadership roles, including experience leading engineering or data science teams.
Demonstrated success in guiding and managing sizable, multifaceted technology teams.
Expertise in Research and Development Innovation:
Deep understanding of research and development domains with a focus on innovative technical delivery and thought leadership.
Communication and Interpersonal Skills:
Exceptional communication ability, fostering effective collaboration and empathy with diverse organizational and external stakeholders.
Ability to engage and motivate a distributed, mission-oriented technical team.
Business Acumen and Strategic Alignment:
Proficient in aligning technology strategies with the organization's broader business goals and objectives.
Demonstrates strong business insight.
Analytical and Problem-Solving Proficiency:
Robust analytical skills coupled with the ability to effectively and efficiently solve complex technology challenges.
Works within budget constraints to deliver innovative ideas with clear delivery milestones.
Multidisciplinary Team Experience:
History of working with and understanding the unique needs of organizations and teams across multiple disciplines.
Demonstrates a commitment to appreciating cultural, structural, and technical diversity.
 
Work Location Assignment: Hybrid

As the Director of Research &amp; Development (R&amp;D) Artificial Intelligence (AI) Innovation Engineering, you will be a thought leader and subject matter expert in the design and delivery of Pfizer R&amp;D AI applications, driving the creation and delivery of innovative solutions to complex problems in the research and development pipeline.&nbsp;Your role will involve leveraging an environment of experimentation to influence direction, identifying multiple solutions and innovative options to solve uniquely complex problems with long-term effects on R&amp;D. You will exercise foresight and judgment in initiating and guiding complex projects in unprecedented situations.In this position working alongside AIDA R&amp;D AI and Data Science leaders, you will help shape and steer the overarching vision and strategy for AI and Data innovative advancements in support of R&amp;D, prototyping new technologies to address challenges and seize opportunities. You will collaborate effectively with internal teams and external partners, aligning efforts to achieve business objectives and meet customer needs.The ideal candidate will have a proven track record of developing and executing strategic plans for groundbreaking AI/ML and innovation products and utilizing data and customer insights to inform decision-making. Your strong background in AI product creation and expertise in taking products from ideation to delivery using automation and modern practices will be essential. You will thrive in managing complex, uncertain environments, driving ideas to products and focusing on impactful outcomes.Collaboration and partnership to achieve business objectives and meet customer needs will be key to this role’s success. You will build strong relationships with internal stakeholders, including Client Partners, the AI Center of Excellence, Platforms and Products teams, and the R&amp;D Creation Center, ensuring alignment with broader organizational strategies.&nbsp;&nbsp;This role demands a passion for scaling technology initiatives and working in a fast-paced, try-destroy-retry environment within the domain of Research and Development. Your unwavering commitment to accomplishing ambitious goals that will propel the company forward will be instrumental in driving innovation, efficiency, and success.ROLE RESPONSIBILITIES Leadership <ul><li>Influence the product roadmaps for data science and creation centers, focusing on developing and maintaining robust, scalable AI capabilities.</li><li>Stay on the forefront of technological advancements in the biopharma and life sciences space.</li><li>Cross-functional Collaboration: Collaborate with researchers, software engineers, and data science teams to create tools that better integrate research and practices.</li></ul>Technical Vision and Strategy<ul><li>Develop and execute a strategic roadmap for the long-term technical platform vision, ensuring alignment with the overall technological vision and objectives.</li><li>Drive continuous innovation and the adoption of new research and AI technologies to improve product experiences.</li><li>Technical Excellence: Maintain a standard of technical excellence, ensuring adherence to best practices in architecture, machine learning, and platform utilization.</li></ul>Trust and Security<ul><li>Foster a culture of trust and ethical AI practices, contributing to a team committed to deploying secure, state-of-the-art AI solutions that comply with global data protection and privacy standards.</li><li>Develop proof of concepts (POCs) and provide a blueprint for implementation.</li></ul>Problem-Solving<ul><li>Utilize AI/ML solutions to address complex, real-world challenges, applying theoretical knowledge to create and improve practical, impactful products and services.</li><li>Focus on accelerating delivery, moving the broader team forward, and gamifying innovation.</li><li>Lead by example and recognize success and failure.</li><li>Partner Collaboration: Collaborate with partner organizations to develop frameworks, data foundations, and architectures supporting the strategic vision.</li></ul>QUALIFICATIONS <ul><li>BA/BS required &nbsp;</li><li>10+ years of demonstrated progressive experience in AI/ML, Software Engineering, or Statistics.&nbsp;</li></ul>Leadership Experience:<ul><li>5+ years in technology leadership roles, including experience leading engineering or data science teams.</li><li>Demonstrated success in guiding and managing sizable, multifaceted technology teams.</li><li>Expertise in Research and Development Innovation:</li><li>Deep understanding of research and development domains with a focus on innovative technical delivery and thought leadership.</li></ul>Communication and Interpersonal Skills:<ul><li>Exceptional communication ability, fostering effective collaboration and empathy with diverse organizational and external stakeholders.</li><li>Ability to engage and motivate a distributed, mission-oriented technical team.</li></ul>Business Acumen and Strategic Alignment:<ul><li>Proficient in aligning technology strategies with the organization's broader business goals and objectives.</li><li>Demonstrates strong business insight.</li><li>Analytical and Problem-Solving Proficiency:</li><li>Robust analytical skills coupled with the ability to effectively and efficiently solve complex technology challenges.</li><li>Works within budget constraints to deliver innovative ideas with clear delivery milestones.</li></ul>Multidisciplinary Team Experience:<ul><li>History of working with and understanding the unique needs of organizations and teams across multiple disciplines.</li><li>Demonstrates a commitment to appreciating cultural, structural, and technical diversity.</li></ul>&nbsp;Work Location Assignment:&nbsp;Hybrid

Director, AIDA R&D AI Innovation Engineer

Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.
What You Will Achieve
You will help Pfizer build its information technology solutions. You will leverage your technical skills to design, develop and implement IT solutions which satisfy the short term or long terms needs of Pfizer. You will work on systems architecture, network systems and application infrastructure to deliver results.
As a Data Science & AI Industrialization DevOps Senior Manager, you will be responsible for architecting and implementing AI solutions and reusable components, with a strong emphasis on incorporating DevOps practices. You will drive the seamless integration of AI applications into the production environment by implementing best practices for CI/CD, infrastructure automation, containerization, configuration management, and monitoring. Your expertise in DevOps will ensure the scalability, reliability, and ongoing operations of AI solutions. Additionally, you will provide strategic input into the AI ecosystem and platform strategy from a DevOps perspective, fostering innovation and collaboration. Join us to make an impact on patient health through the application of cutting-edge technology and collaboration with a diverse team.
How You Will Achieve It
Design, implement, and maintain infrastructure and tools for software development and deployment using IaC tools.
Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery.
Collaborate closely with developers, testers, and operations teams to facilitate seamless software delivery.
Monitor system health and performance, proactively identifying and resolving issues.
Perform root cause analysis to diagnose and fix production errors.
Implement logging and monitoring tools to gain insights into system behavior.
Train and guide junior developers on DevOps principles, fostering their professional growth.
Foster a collaborative learning environment within the team, promoting knowledge sharing and continuous learning.
Communicate the value of DevOps practices and reusable components to stakeholders, highlighting their impact on business outcomes.
Collaborate with stakeholders to understand their needs, aligning DevOps practices and reusable components with their goals.
Continuously improve and optimize DevOps processes and workflows, leveraging feedback and lessons learned.
Stay up to date with the latest trends in DevOps, AI, and data science, and share knowledge across the organization.
Provide strategic input to the AI ecosystem, contributing to platform evolution and new capability development.
Collaborate with AI development teams to integrate reusable components into production AI solutions.
Partner with the AIDA Platforms team to enforce best practices for reusable component architecture and engineering principles.
Qualifications
Must-Have
Bachelor's degree in computer science, information technology, software engineering, or a related field (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline).
7+ years of relevant work experience in DevOps or a related field.
Strong scripting skills in languages like Python or Bash.
Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Chef.
Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.)
Proficiency in Git for version control of infrastructure code and application code.
Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack.
Knowledge of infrastructure security best practices and experience with security tools.
Experience with automated testing frameworks and tools.
Familiarity with database technologies and SQL query optimization.
Knowledge of serverless computing and experience with serverless platforms like AWS Lambda.
Hands-on experience working in Agile teams, following Agile processes and practices.
Self-directed learner with a strong desire to continuously improve coding skills.
Highly self-motivated to deliver both independently and with strong team collaboration.
Ability to creatively take on new challenges and work outside comfort zone.
Strong English communication skills (written & verbal)
Nice-to-Have
Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or a related discipline (preferred, but not required)
Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack.
Knowledge of infrastructure security best practices and experience with security tools.
Experience with automated testing frameworks and tools.
Familiarity with database technologies and SQL query optimization.
Knowledge of serverless computing and experience with serverless platforms like AWS Lambda.

Technology impacts everything we do. Pfizer’s digital and ‘data first’ strategy focuses on implementing impactful and innovative technology solutions across all functions from research to manufacturing. Whether you are digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives.What You Will AchieveYou will help Pfizer build its information technology solutions. You will leverage your technical skills to design, develop and implement IT solutions which satisfy the short term or long terms needs of Pfizer. You will work on systems architecture, network systems and application infrastructure to deliver results.As a Data Science &amp; AI Industrialization DevOps Senior Manager, you will be responsible for architecting and implementing AI solutions and reusable components, with a strong emphasis on incorporating DevOps practices. You will drive the seamless integration of AI applications into the production environment by implementing best practices for CI/CD, infrastructure automation, containerization, configuration management, and monitoring. Your expertise in DevOps will ensure the scalability, reliability, and ongoing operations of AI solutions. Additionally, you will provide strategic input into the AI ecosystem and platform strategy from a DevOps perspective, fostering innovation and collaboration. Join us to make an impact on patient health through the application of cutting-edge technology and collaboration with a diverse team.How You Will Achieve It<ul><li>Design, implement, and maintain infrastructure and tools for software development and deployment using IaC tools.</li><li>Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery.</li><li>Collaborate closely with developers, testers, and operations teams to facilitate seamless software delivery.</li><li>Monitor system health and performance, proactively identifying and resolving issues.</li><li>Perform root cause analysis to diagnose and fix production errors.</li><li>Implement logging and monitoring tools to gain insights into system behavior.</li><li>Train and guide junior developers on DevOps principles, fostering their professional growth.</li><li>Foster a collaborative learning environment within the team, promoting knowledge sharing and continuous learning.</li><li>Communicate the value of DevOps practices and reusable components to stakeholders, highlighting their impact on business outcomes.</li><li>Collaborate with stakeholders to understand their needs, aligning DevOps practices and reusable components with their goals.</li><li>Continuously improve and optimize DevOps processes and workflows, leveraging feedback and lessons learned.</li><li>Stay up to date with the latest trends in DevOps, AI, and data science, and share knowledge across the organization.</li><li>Provide strategic input to the AI ecosystem, contributing to platform evolution and new capability development.</li><li>Collaborate with AI development teams to integrate reusable components into production AI solutions.</li><li>Partner with the AIDA Platforms team to enforce best practices for reusable component architecture and engineering principles.</li></ul>QualificationsMust-Have<ul><li>Bachelor's degree in computer science, information technology, software engineering, or a related field (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline).</li><li>7+ years of relevant work experience in DevOps or a related field.</li><li>Strong scripting skills in languages like Python or Bash.</li><li>Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Chef.</li><li>Experience working in a cloud-based analytics ecosystem (AWS, Snowflake, etc.)</li><li>Proficiency in Git for version control of infrastructure code and application code.</li><li>Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack.</li><li>Knowledge of infrastructure security best practices and experience with security tools.</li><li>Experience with automated testing frameworks and tools.</li><li>Familiarity with database technologies and SQL query optimization.</li><li>Knowledge of serverless computing and experience with serverless platforms like AWS Lambda.</li><li>Hands-on experience working in Agile teams, following Agile processes and practices.</li><li>Self-directed learner with a strong desire to continuously improve coding skills.</li><li>Highly self-motivated to deliver both independently and with strong team collaboration.</li><li>Ability to creatively take on new challenges and work outside comfort zone.</li><li>Strong English communication skills (written &amp; verbal)</li></ul>Nice-to-Have<ul><li>Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems, or a related discipline (preferred, but not required)</li><li>Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack.</li><li>Knowledge of infrastructure security best practices and experience with security tools.</li><li>Experience with automated testing frameworks and tools.</li><li>Familiarity with database technologies and SQL query optimization.</li><li>Knowledge of serverless computing and experience with serverless platforms like AWS Lambda.</li></ul>

Data Science Industrialization, DevOps Senior Manager

We are seeking a highly skilled and experienced Cloud Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining our cloud infrastructure. You will work closely with our development and operations teams to ensure the reliability, scalability, and security of our cloud-based services.
ROLE RESPONSIBILITIES
Design and Implement Cloud Solutions: Develop and deploy scalable, reliable, and secure cloud architectures using industry best practices.
Infrastructure Management: Maintain and manage cloud environments, ensuring optimal performance and cost-efficiency.
Automation: Develop automation scripts to streamline deployment, management, and monitoring of cloud resources.
Security: Implement and enforce security best practices to safeguard our cloud infrastructure and data.
Collaboration: Work closely with development, operations, and security teams to ensure seamless integration and continuous improvement of our cloud services.
Troubleshooting: Identify and resolve technical issues related to cloud infrastructure and services.
Documentation: Maintain comprehensive documentation of cloud infrastructure, configurations, and processes.
Stay Current: Continuously research and stay up-to-date with the latest trends and advancements in cloud technology.
BASIC QUALIFICATIONS 
Bachelor's degree in Computer Science, Information Technology, or a related field.
Minimum of 5 years of experience in cloud engineering or a similar role.
Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.
Strong understanding of cloud architecture principles and best practices.
Experience with infrastructure-as-code tools such as Terraform or Cloud Formation.
Proficiency in scripting languages like Python, Bash, or PowerShell.
Proficiency in scripting Airflow DAGs
Solid understanding of networking concepts and protocols.
Familiarity with containerization technologies such as Docker and Kubernetes.
Strong problem-solving and troubleshooting skills.
Excellent communication and teamwork abilities.
PREFERRED QUALIFICATIONS
Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala.
Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.
ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.
Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.
Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.
AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices
Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.
Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.
Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.
Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.
Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.
  
Please apply by sending your CV and a motivational letter in English.

Work Location Assignment: Hybrid

We are seeking a highly skilled and experienced Cloud Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining our cloud infrastructure. You will work closely with our development and operations teams to ensure the reliability, scalability, and security of our cloud-based services.ROLE RESPONSIBILITIES<ul><li>Design and Implement Cloud Solutions: Develop and deploy scalable, reliable, and secure cloud architectures using industry best practices.</li><li>Infrastructure Management: Maintain and manage cloud environments, ensuring optimal performance and cost-efficiency.</li><li>Automation: Develop automation scripts to streamline deployment, management, and monitoring of cloud resources.</li><li>Security: Implement and enforce security best practices to safeguard our cloud infrastructure and data.</li><li>Collaboration: Work closely with development, operations, and security teams to ensure seamless integration and continuous improvement of our cloud services.</li><li>Troubleshooting: Identify and resolve technical issues related to cloud infrastructure and services.</li><li>Documentation: Maintain comprehensive documentation of cloud infrastructure, configurations, and processes.</li><li>Stay Current: Continuously research and stay up-to-date with the latest trends and advancements in cloud technology.</li></ul>BASIC QUALIFICATIONS <ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Minimum of 5 years of experience in cloud engineering or a similar role.</li><li>Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.</li><li>Strong understanding of cloud architecture principles and best practices.</li><li>Experience with infrastructure-as-code tools such as Terraform or Cloud Formation.</li><li>Proficiency in scripting languages like Python, Bash, or PowerShell.</li><li>Proficiency in scripting Airflow DAGs</li><li>Solid understanding of networking concepts and protocols.</li><li>Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>Strong problem-solving and troubleshooting skills.</li><li>Excellent communication and teamwork abilities.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala.</li><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.</li></ul>&nbsp;&nbsp;Please apply by sending your CV and a motivational letter in English. Work Location Assignment:&nbsp;Hybrid

Manager, Cloud Engineer – AI and Automation

Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes. 
ROLE RESPONSIBILITIES
Lead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes. 
Provides guidance and may lead/co-lead moderately complex projects. 
Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes. 
Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs. 
Lead the development of complex data products that benefit PGS and ensure reusability across the enterprise. 
Collaborate effectively with contractors to deliver technical enhancements. 
Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment. 
Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency. 
Conduct root cause analysis and address production data issues. 
Lead the design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives. 
Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects. 
Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives. 
Document and present findings, methodologies, and project outcomes to various stakeholders. 
Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery. 
Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection. 
​
BASIC QUALIFICATIONS 
A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline. 
5+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations. 
Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment. 
Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred. 
Strong understanding of data structures, algorithms, and software design principles  
Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala 
AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices 
PREFERRED QUALIFICATIONS
Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake. 
ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica. 
Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing. 
Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). 
Containerization: Understanding of Docker and Kubernetes for containerization and orchestration. 
Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files. 
Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune. 
Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets. 
Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch. 
Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship. 
​
Please apply by sending your CV and a motivational letter in English.
  
Work Location Assignment: Hybrid

Pfizer is seeking a highly skilled and motivated AI Engineer to join our advanced technology team. The successful candidate will be responsible for developing, implementing, and optimizing artificial intelligence models and algorithms to drive innovation and efficiency in our Data Analytics and Supply Chain solutions. This role demands a collaborative mindset, a passion for cutting-edge technology, and a commitment to improving patient outcomes.&nbsp;ROLE RESPONSIBILITIES<ul><li>Lead data modeling and engineering efforts within advanced data platforms teams to achieve digital outcomes.&nbsp;</li><li>Provides guidance and may lead/co-lead moderately complex projects.&nbsp;</li><li>Oversee the development and execution of test plans, creation of test scripts, and thorough data validation processes.&nbsp;</li><li>Lead the architecture, design, and implementation of Cloud Data Lake, Data Warehouse, Data Marts, and Data APIs.&nbsp;</li><li>Lead the development of complex data products that benefit PGS and ensure reusability across the enterprise.&nbsp;</li><li>Collaborate effectively with contractors to deliver technical enhancements.&nbsp;</li><li>Oversee the development of automated systems for building, testing, monitoring, and deploying ETL data pipelines within a continuous integration environment.&nbsp;</li><li>Collaborate with backend engineering teams to analyze data, enhancing its quality and consistency.&nbsp;</li><li>Conduct root cause analysis and address production data issues.&nbsp;</li><li>Lead the design, develop, and implement AI models and algorithms to solve sophisticated data analytics and supply chain initiatives.&nbsp;</li><li>Stay abreast of the latest advancements in AI and machine learning technologies and apply them to Pfizer's projects.&nbsp;</li><li>Provide technical expertise and guidance to team members and stakeholders on AI-related initiatives.&nbsp;</li><li>Document and present findings, methodologies, and project outcomes to various stakeholders.&nbsp;</li><li>Integrate and collaborate with different technical teams across Digital to drive overall implementation and delivery.&nbsp;</li><li>Ability to work with large and complex datasets, including data cleaning, preprocessing, and feature selection.&nbsp;</li></ul>​BASIC QUALIFICATIONS <ul><li>A bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related discipline.&nbsp;</li><li>5+ years of experience as a Data Engineer, Data Architect, or in Data Warehousing, Data Modeling, and Data Transformations.&nbsp;</li><li>Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.&nbsp;</li><li>Proven track record of successfully implementing AI solutions in a healthcare or pharmaceutical setting is preferred.&nbsp;</li><li>Strong understanding of data structures, algorithms, and software design principles&nbsp;&nbsp;</li><li>Programming Languages: Proficiency in Python, SQL, and familiarity with Java or Scala&nbsp;</li><li>AI and Automation: Knowledge of AI-driven tools for data pipeline automation, such as Apache Airflow or Prefect. Ability to use GenAI or Agents to augment data engineering practices&nbsp;</li></ul>PREFERRED QUALIFICATIONS<ul><li>Data Warehousing: Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake.&nbsp;</li><li>ETL Tools: Knowledge of ETL tools like Apache NiFi, Talend, or Informatica.&nbsp;</li><li>Big Data Technologies: Familiarity with Hadoop, Spark, and Kafka for big data processing.&nbsp;</li><li>Cloud Platforms: Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).&nbsp;</li><li>Containerization: Understanding of Docker and Kubernetes for containerization and orchestration.&nbsp;</li><li>Data Integration: Skills in integrating data from various sources, including APIs, databases, and external files.&nbsp;</li><li>Data Modeling: Understanding of data modeling and database design principles, including graph technologies like Neo4j or Amazon Neptune.&nbsp;</li><li>Structured Data: Proficiency in handling structured data from relational databases, data warehouses, and spreadsheets.&nbsp;</li><li>Unstructured Data: Experience with unstructured data sources such as text, images, and log files, and tools like Apache Solr or Elasticsearch.&nbsp;</li><li>Data Excellence: Familiarity with data excellence concepts, including data governance, data quality management, and data stewardship.&nbsp;</li></ul>​Please apply by sending your CV and a motivational letter in English.&nbsp;&nbsp;Work Location Assignment:&nbsp;Hybrid

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