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Reporting to the Sr Manager Data Management Lead of Enterprise Data and Solution Engineering, the&nbsp;UDH Data Quality Lead&nbsp;will&nbsp;build first in class data quality and management practice. Build capabilities that enact trust in data and products, that are critical for building advanced analytic solutions, self-service models and semantic data layer.<ul><li>Directs cross-functional team for Data Quality services in emerging tools.</li><li>Directs the portfolio of technology and implementation plans to modernize the service on cloud, leverage automation, reuse, and continuous improvement to expand into new domains.</li><li>Provides oversight and direction to a cross functional team to the onboarding of new data set and PGS systems on the roadmap.</li><li>Designs and implements quality assurance programs across data repositories.</li><li>Create and manage semantic layer to ensure data quality assessment data is available to Adv. Analytics and in advance visualizations for downstream.</li><li>Lead data standardization efforts where possible setup SLA’s and responsible for key metrics that measure data quality.</li><li>Maintain relationships with all data users, actively driving engagement, adoption and usage – and providing processes, training and support to ensure data quality standards are maintained.</li><li>Oversee data procedures for any errors or defects.</li><li>Enforces all the measures to ensure an asset-oriented view, control and quality assurance of data in a company.</li><li>Analyze data patterns and utilization with a constant eye toward continuous improvement.</li><li>Lead data standardization efforts where possible.</li><li>Establish a strong collaborative culture with peers and other functions across Pfizer Digital.</li><li>Promote a culture of success, pride, performance, discipline, innovation and creativity.</li><li>Build automation and AI driven process to continuously innovate and improve quality.</li><li>Liaison with senior leaders and stakeholders within Pfizer to data and quality standards to meet or exceed business requirements.</li><li>Creates business quality standards.</li><li>Accountable for the development and ongoing leadership of data stewardship protocols to meet requirement of strategic initiatives.</li><li>Analytical and critical thinking. Does not shy away from tough decisions and can articulate complex situations so that decisions can be made.</li><li>Consultative skills. Is able to define and structure vaguely defined problems, and influence stakeholders via effective communication.</li></ul>Basic Qualifications<ul><li>Must have a bachelor’s degree with at five years of relevant experience. </li><li>OR master’s degree with three years of relevant experience. &nbsp;</li><li>OR associate degree with eight years of relevant experience. </li><li>OR Ph.D. with 0+ years of experience. </li><li>Preference for advanced degree holders with a focus in strategy Analytics, Data science, Computer Science, Engineering or equivalent project-related experience</li><li>5+ years of strong multi-discipline experience, with experience in data quality concepts and technologies</li><li>Proficiency in Python, SQL, and familiarity with Java or Scala.</li><li>Strong expertise in developing data pipelines, data APIs and DQ rules</li><li>Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.</li><li>Knowledge and understanding of data quality tools.</li><li>Demonstrated ability to interact with all levels of the organization in a professional manner.</li><li>Proven skills in working across diverse, cross-functional teams in solving data problems.</li><li>Strong collaboration and communication skills within and across teams.</li><li>Knowledge of analytic tools and platforms, e.g. Tableau, snowflake, Spark, SQL</li><li>Knowledge of Big Data, data science and statistical analysis skills, e.g. R, Python, machine learning, SAS</li><li>Knowledge of relational databases, information architecture, data warehousing and ETL</li><li>Proactively monitors the execution of the digital data governance processes including data quality and publishes the results.</li></ul>Nice-to-Have<ul><li>Master's degree</li><li>Relevant pharmaceutical industry experience</li><li>Experience with Agile Software Delivery and/or Scrum Master Certification</li><li>Knowledge of the pharmaceutical industry, preferably Commercial or sales and marketing</li></ul>&nbsp;

Manager Data Quality Lead

In this role, you will act as the technical engineering lead for data solutions that function as standalone products or reusable platform templates for teams across the enterprise. You will need to balance leading cross-functional teams with hands-on development on the platform and managing stakeholder expectations. You will also be accountable for a team of around 5 colleagues.You may have a software development background, or an engineering background or you were raised in a modern data analytics culture from the start of your career. You will have the ability to work with technology vendors, support resources, delivery partners, Pfizer stakeholders, and apply emerging and traditional technologies for analytics improvements in support of enterprise analytics platform strategy.ROLE RESPONSIBILITIES&nbsp;<ul><li>Design, construct, install, test, and maintain robust and scalable Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) data pipelines to pull data from diverse internal and third-party sources.</li><li>Build and manage enterprise data warehouses and data lakes, ensuring optimal performance and data integrity.</li><li>Implement data platforms utilizing cloud services optimizing data delivery architecture to be highly available and fault-tolerant.</li><li>Develop processes for data monitoring and implement data quality checks to ensure the accuracy, completeness, and reliability of core datasets.</li><li>Optimize existing data systems for improved performance and efficiency, implementing automation where possible.</li><li>Partner with data analysts, data scientists, and software engineers to understand and address data needs, ensuring the infrastructure supports analytical goals.</li><li>Create and maintain documentation for all data pipelines, processes, and infrastructure, adhering to best practices in data engineering.</li><li>Drive strategic reuse and user enablement by:</li><li>Developing and maintaining reusable assets for consistency and scalability.</li><li>Defining standards and best practices in partnership with platform owners.</li><li>Assessing and adopting emerging enterprise platform capabilities.</li><li>Delivering end-to-end data solutions to integrate advanced features into business workflows.</li><li>Creating platform specific proof-of-concepts that demonstrate feasibility and readiness for enterprise utilization.&nbsp;</li><li>Ensuring cross-functional alignment for cohesive data and AI adoption across the organization.</li></ul>&nbsp;BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor's degree in Computer Science, Statistics, or related field.</li><li>At least 10 years of professional experience.</li><li>At least 5 years engineering or technical role experience, ideally involving a complex and rapidly evolving software/product.</li><li>Proven track record of executive level presentations and ability to effectively communicate to multiple audiences and partners.</li><li>Strong leadership skills with experience mentoring and managing development teams.</li><li>Grit when faced with technical issues&nbsp;- you don't rest until you understand what is happening and why things are not working.</li><li>Excellent problem solving and analytical skills with an aptitude for learning new technologies.</li><li>Excellent verbal and written communication skills.</li><li>and the ability to interface with both technical and non-technical individuals as needed.</li><li>Comfort working with and reading code.</li><li>Proven experience as a Data Engineer or similar role with a strongtrack record of delivering production-level data solutions.</li><li>Expertise in Python and proficiency in SQL. Experience with Java or Scala is a plus.</li><li>Strong experience with data warehouse and lake solutions (Snowflake, Redshift, BigQuery, Databricks) and orchestration tools (Apache Airflow, Prefect).</li><li>Big Data Frameworks:&nbsp;Familiarity with big data processing frameworks like Apache Spark or Kafka.</li><li>Solid understanding of data modeling principles, database design, and data governance concepts.</li><li>Hands-on experience and proficiency with DevOps and information tools – e.g., JIRA, Confluence, SharePoint, Yammer, etc.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience with cloud platforms such as AWS, Azure, and GCP.</li><li>Experience with data visualization, data science, machine learning, and/or AI</li><li>Experience with web development&nbsp;</li><li>Agile / SAFE Certification</li></ul>

Director - TL, Data Engineering

As a Sr. Associate,&nbsp;Software&nbsp;Engineer,&nbsp;you will work with senior members of the team to design, implement, and&nbsp;maintain&nbsp;automated systems for infrastructure provisioning, configuration management, and deployment. You will be working&nbsp;to design and build REST APIS, build and support&nbsp;open-source&nbsp;platforms,&nbsp;and&nbsp;maintain&nbsp;build and deploy pipelines that ensure our services&nbsp;remain&nbsp;available and scalable.&nbsp;Ideal candidate has an experience working as a&nbsp;software&nbsp;engineer in a global team structure.&nbsp; This role requires strong collaboration skills, the ability to work independently with a focus on high quality and&nbsp;a strong sense&nbsp;of accountability. The role also requires&nbsp;a strong desire&nbsp;for continuous learning to stay current with the rapidly evolving global technology landscape and significant attention to detail and quality.&nbsp; ROLE RESPONSIBILITIES&nbsp;<ul><li>Design and build REST APIs services in Java to automate manual processes across the organization.&nbsp;</li><li>Collaborate with cross-functional teams to gather&nbsp;technical&nbsp;requirements.&nbsp;</li><li>Work with engineering lead and business owner to&nbsp;optimize&nbsp;and improve&nbsp;how the team delivers automations in the most efficient way possible.&nbsp;</li><li>Work with security team to ensure&nbsp;compliance with security and regulatory requirements in all infrastructure and tooling configurations.&nbsp;</li><li>Collaborate with development teams to&nbsp;identify&nbsp;and implement best practices for continuous integration and deployment.&nbsp;</li><li>Create and&nbsp;maintain&nbsp;documentation related to&nbsp;services,&nbsp;infrastructure, tooling, and configuration processes.&nbsp;</li><li>Stay up to date with the latest industry trends and best practices related to configuration management&nbsp;tools&nbsp;and infrastructure automation.&nbsp;</li></ul>BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).&nbsp;</li><li>A minimum of 2&nbsp;years of experience working&nbsp;as a&nbsp;software engineering.&nbsp;</li><li>Proven experience working with Java.&nbsp;</li><li>Experience with version control systems (e.g., Git) and CI/CD pipelines.&nbsp;</li><li>Strong problem-solving skills, with the ability to troubleshoot and resolve issues efficiently.&nbsp;</li><li>Excellent communication and collaboration skills,&nbsp;work well as part of a team.&nbsp;</li></ul>PREFERRED QUALIFICATIONS&nbsp;<ul><li>Experience with SpringBoot and/or Quarkus.</li><li>Basic understanding of cloud platforms (e.g., AWS, Azure).&nbsp;</li><li>Experience&nbsp;with containerization technologies (e.g., Docker, Kubernetes) and their integration with infrastructure automation tools.&nbsp;</li><li>Experience&nbsp;with tools such as Terraform and Ansible, is a huge plus.&nbsp;</li><li>Certification in relevant technologies (e.g., AWS&nbsp;Cloud Practitioner, Terraform Certified Associate).&nbsp;&nbsp;</li></ul>

Sr. Associate, Software Engineer

JOB SUMMARY<ul><li>This internship role is a hands-on statistical data scientist supporting study and asset teams with statistical data sciences and analytics deliverables.</li><li>Ensures excellence in the delivery of analysis ready datasets, analysis results and displays and qc work for which they are responsible.</li><li>Ensures adherence to high quality statistical data sciences principles, processes and techniques in their daily work.</li></ul>JOB RESPONSIBILITIES<ul><li>Will be learning in the space of statistical data sciences and data standards.</li><li>Accountable for their assigned work supporting the statistical data sciences leads for a particular study or asset deliverable.</li><li>Ensures appropriate documentation and QC documentation for their deliverables.</li><li>May provide supportive QC work for other statistical data scientists deliverables.</li><li>Works with statistical data sciences leads to ensure clear specifications for their deliverables are in place.</li></ul>QUALIFICATIONS / SKILLS<ul><li>Bachelor or Master (preferred) Degree in Statistics, Data Sciences, Biological Sciences, IT, or related field.</li><li>Some experience in SAS, R, or Python programming and knowledge of clinical trials would be considered as an asset.</li><li>Strong written and oral communication skills, and time management skills.</li><li>Proven ability to manage timelines.</li><li>Fluent in English.</li></ul>

Assistant, Statistical Data Scientist (Intern - 6 months fixed term)

As part of the Clinical Data &amp; Information Sciences (CDIS) group, an integral delivery unit within the Clinical Development &amp; Operations (CD&amp;O) organization, the Senior Data Manager is responsible for timely and high quality data review and query management of clinical data supporting the Pfizer portfolio.&nbsp;The SeniorData Manager develops and maintains key data management deliverables used to collect, review, monitor, and ensure the integrity of clinical data.ROLE RESPONSIBILITIES&nbsp;&nbsp;<ul><li>Serve as Lead Data Manager for one or more clinical trials assuming responsibility for CDS activities including selection and application of data acquisition standards, database design (including specification documentation and testing of clinical data collection tools, both CRF and non-CRF, using an EDC system and/or other data collection systems), development and maintenance of the Data Management Plan, data review and query management, data access and visualization, Data Management metrics reporting, database release, and submission related activities.&nbsp;</li></ul><ul><li>Independently lead the daily DM activities and allocate study DM resource in the appropriate way.&nbsp;</li></ul><ul><li>Coach junior Data Managers in the study and perform peer review of study DM's deliverables for quality control.&nbsp;&nbsp;</li></ul><ul><li>Be responsible to achieve the study DM milestone on time with good quality.&nbsp;</li></ul><ul><li>In collaboration with the Clinical Data Scientist (CDS), ensure operational excellence across all deliverables.&nbsp;</li></ul><ul><li>Ensure work carried out in accordance with applicable SOPs and working practices.&nbsp;</li></ul><ul><li>Ensure the required study-specific CDIS documents in the Trial Master File (TMF) are of high quality and are filed contemporaneously to support downstream inspection and submission readiness activities.&nbsp;&nbsp;</li></ul><ul><li>Ensure operational excellence in collaboration with CDS for application of standards, data acquisition, proactive data review and query management, data cleaning, e-data processing, data access and visualization, DM metrics reporting, database release, and submission related activities.&nbsp;</li></ul><ul><li>Ensure lessons learnt during the course of the study are documented and shared with other study teams to facilitate cross study learning.&nbsp;&nbsp;</li></ul><ul><li>Be capable to contribute on the DM related continuous improvement activities.</li></ul>QUALIFICATIONS&nbsp;&nbsp;<ul><li>Bachelor’s degree minimum requirement. &nbsp;</li><li>Minimum 3 years Data Management experience required.&nbsp;</li><li>Demonstrated knowledge of clinical development process including knowledge and understanding of the principles of GCP.&nbsp;</li><li>Demonstrated knowledge of data management processes and principles in area of responsibility.&nbsp;</li><li>Working knowledge of clinical research, FDA &amp; ICH, GCP, GCDMP, and related regulatory requirements.</li><li>Working knowledge of all phases of clinical trials and ability to assess and determine study requirement from protocol review.&nbsp;</li><li>Familiarity with MedDRA/WHO-Drug.&nbsp;&nbsp;</li><li>Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.).&nbsp;</li><li>Demonstrates strong verbal and written communication skills including ability to communicate remotely.&nbsp;&nbsp;</li><li>Proficient experience using commercial clinical data management systems and/or EDC products (e.g. Inform preferred).&nbsp;&nbsp;</li><li>Experience using data visualization tools (e.g. Spotfire,&nbsp;J-Review) preferred.&nbsp;</li><li>Experience of project management skill in terms of resource management and timeline and quality control preferred.&nbsp;</li></ul>

Senior Data Manager, Clinical Data Management Pylaia

Resource Demand Manager provides operational resource support to functional line(s) within the R&amp;D division ensuring resource requirements in support of the Research, Development and Commercial portfolios are properly planned and understood to facilitate informed decision-making and allocation of resources based on business priorities. Contributes to the achievement of business strategies and goals by partnering with applicable business SMEs across key stakeholder groups to enable and enhance operational performance through effective forecasting, planning management of organizational resources, the development of tools and processes to effectively assess resources, both internal and external through Functional Service Providers.ROLE RESPONSIBILITIES<ul><li>Supports functional lines with mix of fixed and variable headcount, 1000 resources across several resource work types and high algorithm complexity.</li><li>Ensures potential resource capacity issues (shortfalls) are surfaced and discussed in a timely fashion.</li><li>Derive demand forecasts utilizing the Planisware enterprise portfolio project management system; create variance and trend analyses.</li><li>Manages resource and cost assessments related to internal Pfizer portfolio optimization opportunities (e.g., project accelerations, PSI buy-ups, etc.) for supported Functional Lines</li><li>Partners with senior leaders and Resourcing Business Partners to ensure organizational resources are optimized and appropriately aligned to business priorities across the business functional areas.</li><li>Innovate new strategies and tools such as dashboards, metrics and KPI’s.</li><li>Utilizes business-specific portfolio and project information to facilitate portfolio and resource planning reviews and deliver the Annual Operating Plan.</li><li>Produce business performance dashboards and key metrics utilizing advanced visualizations and appropriate communications that effectively illustrate data trends</li><li>Supports multiple aspects of resource and clinical development cost management including data transformation, analysis, and reporting</li><li>Supports the development, maintenance and analysis of clinical trial cost and resource metrics to increase accuracy in assumptions in planning.</li><li>Support the delivery of holistic view of resource capacity and allocation across business functional areas.</li><li>Reinforces the value of the FTE Tracking (Activity Tracker), CRIS (Capacity Resource Information System) and Resource Planning &amp; Forecasting (RAPID) programs for the business.</li><li>Proactively surfaces potential resource and cost related issues to key stakeholders and recommends go forward actions / sourcing solutions.</li><li>Supports the partnership with Finance to coordinate the development of the annual operating budget build.</li><li>Partners with subject matter experts in business lines on the design, development, and maintenance of resource estimating assumptions (algorithms), drivers, and templates for use in generating algorithmically derived demand forecasts utilizing the PLW enterprise portfolio project management system.</li><li>Innovate new strategies and tools such as dashboards, metrics and KPI’s</li><li>Supports high-impact cross functional special projects that improve our business in the short and long term.</li><li>For certain functional areas support the assessment of quarterly Functional Service Provider (FSP) Resource Demand Plan keying on relevant business drivers to justify resource projections, summarize changes, performs and delivers analyses summarizing forecast changes and communicates to finance and budgetary stakeholders.</li></ul>QUALIFICATIONS / SKILLS<ul><li>Bachelor’s degree required, scientific or technical focus preferred, and minimum 4+ years of relevant experience (R&amp;D operational strategy and finance a plus) or Master's degree with 3+ years related experience with ability to translate complex business questions and requirements and develop effective solutions</li><li>Business experience and understanding of processes associated with operational aspects of clinical development</li><li>Expert in Excel, SQL, XML, dashboard tools (PowerBI, Spotfire, Tableau). Strong working knowledge Planisware, Business Objects and SaaS systems. Planisware certification is a plus.</li><li>Expertise in resource algorithm design and development</li><li>Ability to translate complex business questions and requirements and develop effective solutions</li><li>Ability to synthesize detailed information from multiple, disparate sources, understand the underlying data and be able to interpret and articulate key takeaways to executive leadership</li><li>Versed in data analytics, predictive modelling, AI capabilities, and able to build dashboards and reporting tools</li><li>Strong analytical skills, critical thinker, collaborator and effective communicator</li><li>Drive for results; planning; managing and measuring work</li><li>Comfortable multi-tasking; prioritizing and balancing heavy workloads</li></ul>Out of scope:<ul><li>Category management</li><li>Vendor quality and compliance</li><li>Vendor management (sourcing, RFIs/RFPs)</li></ul>

Manager, Resource Demand

The&nbsp;Director, Product Engineering&nbsp;will lead a global team of highly skilled software engineers responsible for designing, developing and sustaining enterprise-grade digital manufacturing applications and solutions. This leader will ensure engineering excellence across multiple complex and competing priorities balancing rapid delivery with stability, scalability and maintainability.&nbsp;This role requires a seasoned technical leader who can drive architectural vision, establish best practices and standards, mentor emerging engineering talent, and guide the adoption of modern technologies including AI and emerging Agentic AI paradigms. The ideal candidate combines deep software engineering expertise with strong leadership, prioritization, and a passion for enabling innovation within a complex, global organization.ROLE RESPONSIBILITIES&nbsp;The&nbsp;Director, Product Engineering&nbsp;&nbsp;colleague’s responsibilities include but are not limited to:<ul><li>Product Delivery &amp; Execution Excellence<ul><li>Oversee multiple concurrent development initatives supporting the Digital Manufacturing portfolio</li><li>Drive end-to-end solution delivery, architecture, design, development testing, deployment and sustainment</li><li>Manage competing priorities and resource allocations across projects, balancing delivery speed with quality and compliance</li><li>Partner with product managers, solution architects, and business stakeholders to align engineering coutcomes with product roadmaps</li></ul></li></ul><ul><li>Technical Architecture &amp; Best Practices<ul><li>Define and uphold modern engineering standards such as CI/CD pipelines, code reviews, automated testing, observability and secure-by-design principles</li><li>Ensure system architectures are scalable, reliable, and maintanable across global deployments</li><li>Manage technical debt and implement continuous improvement initiatives to enhance performance and efficiency</li><li>Drive alignment with enterprise architecture, data, and cybersecurity standards</li></ul></li><li>AI Enablement &amp; Technology Integration<ul><li>Partner with AI COE, Manufacturing Intelligence, Data Engineering and Platform Engineering teams to enable AI-powered features and intelligent automation</li><li>Maintain a high-level understanding of the tools, frameworks, and infrastructure supporting AI and agentic systems (e.g. LLMs, RAG pipelines, vector databases, orchestration frameworks like LangChain or Semantic Kernel)</li><li>Advocate for AI readiness within existing applications and influence the technical direction of future applications</li></ul></li><li>Engineering Leadership &amp; Team Development<ul><li>Lead and inspire a global team of software enterprise-grade digital manufacturing applications</li><li>Serve as a hands-on technical mentor guiding junior engineers, facilitating skill growth and fostering a culture of excellence</li><li>Build an inclusive, collaborative, and high-performance engineering culture centered on ownership, continuous improvement, learning and accountability</li><li>Establish clear career paths and succession planning within the team</li></ul></li><li>Governance, Compliance &amp; Performance Management<ul><li>Ensure all solutions adhere to Pfizer’s digital standards, including cybersecurity, GxP, and data integrity requirements</li><li>Establish and track engineering KPIs – delivery, velocity, system uptime, incident response times, and technical debt reduction</li><li>Drive transparency through dashboards and regular operational reviews</li></ul></li></ul>BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor’s degree in computer science, software engineering, or relevant experience</li><li>Minimum 8+ years of experience in software engineering, including full-stack or backend development in enterprise environments</li><li>Demonstrated experience leading high-performing engineering teams delivering complex, mission-critical applications</li><li>Strong technical depth in modern software architectures, APIs, microservices, and cloud-native design patterns</li><li>Proven success managing competing priorities, allocating resources effectively, and communicating tradeoffs with senior stakeholders</li><li>Experience mentoring engineers and establishing professional growth and development paths within engineering teams</li><li>Working knowledge of AI technologies and architectures including experience with LLMs, RAG vector databases, orchestration frameworks (e.g. LangChain, Semantic Kernel), or intelligent agent systems</li><li>Strong communication skills with the ability to bridge technical and business audiences</li><li>Demonstrated success operating in global, matrixed organizations</li></ul>PREFERRED QUALIFICATIONS<ul><li>Master’s degree in computer science, Engineering Management or related field</li><li>Experience with regulated or GxP environments such as pharma and medical devices</li><li>Experience in a manufacturing environment</li><li>Familiarity with MLOps and AI infrastructure (e.g. Azure AI Foundry, OpenAI API, Amazon Bedrock and Sagemaker AI, Databricks or similar ecosystems)</li><li>Strong background in agile development, preferabily SaFE, and DevOps culture</li></ul>

Director, Product Engineering

Είσαι έμπειρος/η Data Engineer με εξειδίκευση σε Microsoft Fabric και PySpark;&nbsp;Αν σε χαρακτηρίζουν η αναλυτική σκέψη, η ομαδικότητα και η επιμονή στη λεπτομέρεια, τότε αυτή η θέση είναι για σένα!Στο πλαίσιο της ανάπτυξής μας, αναζητούμε έναν/μία Data Engineer με έδρα τη Θέρμη Θεσσαλονίκης, στα κεντρικά μας γραφεία. Ως μέλος στη Διεύθυνση Πληροφορικής, θα συμβάλεις ενεργά στην ανάπτυξη και τη βελτιστοποίηση των συστημάτων διαχείρισης δεδομένων του οργανισμού. Θα αξιοποιήσεις τις βέλτιστες πρακτικές του Microsoft Fabric, αναλαμβάνοντας καθήκοντα data engineering αλλά και αρχιτεκτονικού σχεδιασμού, με στόχο τη δημιουργία αξιόπιστων, αποδοτικών και επεκτάσιμων λύσεων δεδομένων.&nbsp;Αρμοδιότητες Θέσης• Σχεδιασμός, ανάπτυξη και συντήρηση scalable data pipelines με χρήση PySpark και Microsoft Fabric. • Ενοποίηση δεδομένων από πολλαπλές πηγές (structured &amp; unstructured). • Βελτιστοποίηση της απόδοσης των ροών δεδομένων (data flows) και διαχείριση μεγάλου όγκου δεδομένων. • Κατανόηση επιχειρησιακών αναγκών και μετατροπή τους σε τεχνικές προδιαγραφές. • Συνεργασία με ομάδες Data Science, BI και Software Engineering για end-to-end έργα δεδομένων. • Εφαρμογή βέλτιστων πρακτικών σε θέματα ασφάλειας, διακυβέρνησης και ποιότητας δεδομένων. • Συμμετοχή στο σχεδιασμό αρχιτεκτονικών διαγραμμάτων και ρύθμιση του περιβάλλοντος Microsoft Fabric.&nbsp;Προδιαγραφές Θέσης• Πτυχίο τριτοβάθμιας εκπαίδευσης στην Πληροφορική, Μαθηματικά ή σε συναφές επιστημονικό αντικείμενο • 3+ χρόνια εμπειρίας ως Data Engineer • Άριστη γνώση PySpark και εμπειρία στο Microsoft Fabric (Data Factory, Synapse, Lakehouse, Real-Time Analytics) • Εμπειρία με CI/CD pipelines και version control (π.χ. Git) • Καλή γνώση SQL και NoSQL βάσεων δεδομένων • Ικανότητα επίλυσης προβλημάτων και συνεργασίας σε cross-functional ομάδες • Πιστοποίηση σε Azure Data Engineering θεωρείται σημαντικό πλεονέκτημα • Γνώση σε monitoring tools και observability (π.χ. Azure Monitor, Log Analytics) θεωρείται σημαντικό πλεονέκτημα&nbsp;Η Μασούτης εδώ για σένα!• Παρέχουμε ένα ανταγωνιστικό πακέτο αποδοχών • Διασφαλίζουμε ένα ασφαλές και οργανωμένο περιβάλλον εργασίας • Επενδύουμε στη συνεχή εκπαίδευση και ανάπτυξη των ανθρώπων μας • Προσφέρουμε τη δυνατότητα συμμετοχής σε καινοτόμα έργα με σύγχρονες τεχνολογίες • Δημιουργούμε ευκαιρίες επαγγελματικής εξέλιξηςΑν συμμερίζεσαι κι εσύ το πάθος μας για καινοτομία, αξιοποίηση των δεδομένων και συνεχή βελτίωση μέσω τεχνολογίας, πιστεύεις στη δύναμη της συνεργασίας και γνωρίζεις πώς να μετατρέπεις τα δεδομένα σε αξία, τότε στείλε την αίτησή σου εδώ&nbsp;και γίνε μέλος της τεχνολογικής ομάδας της μεγάλης οικογένειας Μασούτη!

Data Engineer

Εγκαταστάσεις, rollout, τεχνική υποστήριξη σε πελάτες.Απαραίτητα προσόντα:<ul><li>Πτυχίο τριτοβάθμιας εκπαίδευσης στον τομέα της Πληροφορικής</li><li>Βασική εμπειρία σε τεχνολογίες Routing/Switching, Ethernet, VLANs, TCP/IP addressing, NAT, DHCP, MS WINDOWS</li><li>Πολύ καλή γνώση Αγγλικών (προφορικά &amp; γραπτά)</li></ul>&nbsp;Επιθυμητά προσόντα:<ul><li>Πιστοποίηση CCNA</li><li>Τεχνογνωσία και εμπειρία σε δομημένη καλωδίωση</li></ul>&nbsp;Προσωπικά χαρακτηριστικά:<ul><li>Άριστες επικοινωνιακές δεξιότητες</li><li>Μεθοδικότητα και συνέπεια</li><li>Ικανότητα διάγνωσης, ανάλυσης και επίλυσης προβλημάτων</li><li>Ανεπτυγμένη ικανότητα εξυπηρέτησης πελατών</li><li>Ομαδικότητα και συνεργασία</li></ul>Η εταιρία προσφέρει:<ul><li>Άριστο εργασιακό περιβάλλον</li><li>Προοπτικές εξέλιξης</li><li>Συνεχή εκπαίδευση</li><li>Πρόγραμμα ομαδικής ασφάλισης</li></ul>

Τεχνικός Η/Υ και Δικτύων - ΘΕΣΣΑΛΟΝΙΚΗ

<h2>Job Description</h2>Are you ready for a sneak-peek in the day of a Senior UI UX Designer in Netcompany-Intrasoft?Joining us as UX Designer,&nbsp;you will be part of our&nbsp;highly skilled teams for designing large-scale web and mobile applications for a&nbsp;wide variety of technologies and industries.&nbsp;We create UX designs in a broad range of sectors; from finance and healthcare to telecoms, banking, and public administration.As a Senior UI UX Designer you will:<ul><li>Create user-centered / data driven designs</li><li>Liaise with clients</li><li>Communicate your design decisions in a clear and evidence-based manner</li><li>Formulate and define requirements for web and mobile products</li><li>Conduct user interviews and usability testing</li><li>Conduct layout adjustments based on research insights</li><li>Collaborate with many different disciplines</li><li>Be an advocate for user experience best practices across the company</li></ul><h2>Qualifications</h2>What would make you a fit for the role:<ul><li>5+ years&nbsp;of experience in UI design with responsive behavior</li><li>Industry experience in Web, Web Mobile, and Mobile app ecosystems</li><li>Experience in design thinking and human-centered design methods and techniques</li><li>Knowledge of Adobe XD or Figma</li><li>Excellent command of the English language (written &amp; verbal)</li><li>Ability to communicate clearly and efficiently</li><li>Methodical, quality, and results-oriented thinking</li><li>Adaptability and a team spirit</li></ul>It would also be a plus if you match some of the following:<ul><li>Familiarity with Material Design</li><li>Experience with data gathering and analysis</li></ul><h2>Company Description</h2>We are Netcompany-Intrasoft, a member of Netcompany Group A/S, and a leading European IT Solutions and Services company with strong international presence and expertise, dedicated to responsible digitalisation. We offer innovative and added-value solutions of the highest quality to a wide range of public and private organizations, while being a key-player in the EU Institutions for the past 30 years. We hold an outstanding record of 500+ organizations in 70+ countries, that have chosen our solutions and services, to fulfil their business needs. Our team of 3500+ professionals is our driving force and our most valuable asset.SCOPE Communications is Netcompany-Intrasoft’s fully-fledged, in-house communications agency, that provides a wide range of services, like strategy development, digital marketing, graphic design, audiovisual etc. Over the past 30 years, SCOPE has been working with EU Institutions, to deliver valuable key messages to various target audiences across the EU.<h2>Additional Information</h2>We will secure your development!&nbsp;Being a part of the Netcompany-Ιntrasoft team, you will be provided with:&nbsp;<ul><li>The opportunity to work in a modern environment &amp; in a hybrid working model</li><li>A seamless onboarding experience and a buddy to support you on your first steps</li><li>A competitive compensation &amp; benefits package</li><li>Health and life insurance program</li><li>Meal and commuting allowance</li><li>Well-being activities (on premises)</li><li>Continuous learning opportunities using the most modern methods (unlimited access to Udemy for Business, ad-hoc trainings)</li><li>A personalized development plan for targeted career growth</li><li>If you are looking forward to be part of a diverse environment, and have the opportunity to work alongside well-experienced professionals, on challenging, large-scale projects that directly impact millions of citizens around the globe, then this is the place to be!</li></ul>Our cultureOur people&nbsp;are the most important element of our success. Our work life is well defined by our set of fundamental Values:&nbsp;https://netcompany.com/careers/greece/our-values/&nbsp;#BePartOfSomethingGreat!Please submit your CV in English. All applications will be treated as strictly confidential.Should you be invited for an interview and be considered suitable candidates for the EU project at the first stage, we inform you that your CV may be forwarded to the relevant European Organization or third companies - consortium members participating in the specific EU project together with NETCOMPANY INTRASOFT for evaluation.We ensure equal opportunities, treatment, and consideration to all candidates. Discrimination based on sex, racial or ethnic origin, religion or belief, disability, age, sexual orientation or marital status, physical or mental disability, or any other factor protected by applicable laws and regulations is prohibited. As part of the Netcompany-Intrasoft culture, we respect human rights and focus on creating a positive workplace, where all employees are valued, and where diversity and inclusion are a vital part of our our everyday working experience.

Senior UI UX Designer

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Μασούτης

τεχνικός η/υ και δικτύων - θεσσαλονικη

SPACE HELLAS AE

senior ui ux designer

Netcompany

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