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As a Data Governance Manager, you will join the Group Data &amp; AI function and play a central role in defining and operationalizing the Group’s enterprise data governance framework. You will be responsible for setting data management principles, ensuring effective metadata and lineage management, partnering with business and technology stakeholders, and safeguarding the quality and integrity of critical operational data across the Group.&nbsp;What you will be doing • &nbsp; &nbsp;Lead the delivery, rollout, and day to day operationalization of the Group Data Governance Framework. • &nbsp; &nbsp;Define and shape the Bank’s enterprise data management and data architecture principles, and monitor their consistent implementation across the Group. • &nbsp; &nbsp;Drive the development, adoption, and continuous improvement of data governance policies, standards, and procedures, in close collaboration with business and technology stakeholders. • &nbsp; &nbsp;Provide technical and methodological assurance for the ongoing implementation of data governance practices across the Bank. • &nbsp; &nbsp;Oversee the analysis of business requirements related to Critical Data Elements (CDEs), ensuring strong traceability between data, business processes, regulatory needs, and enterprise value. • &nbsp; &nbsp;Ensure the identification, documentation, and maintenance of enterprise data assets within business and data glossaries. • &nbsp; &nbsp;Work closely with business and IT teams to implement effective metadata management and data lineage processes across data platforms and tools. • &nbsp; &nbsp;Partner with business areas to define and support Business Data Owners, enabling the consistent identification, ownership, and stewardship of Critical Data Elements. • &nbsp; &nbsp;Build and lead a high performing data governance team, fostering a culture of accountability, collaboration, empowerment, and inclusion. What you need to have •&nbsp; &nbsp; A Bachelor’s degree in Computer Engineering, Statistics, Information Systems, or a related field. •&nbsp; &nbsp; A Master’s degree in Business Administration or a relevant discipline (preferred). • &nbsp; &nbsp;At least 5 years of managerial experience in Data Governance or Data Management, with a strong focus on Critical Data Elements and metadata management. • &nbsp; &nbsp;Solid experience in Data Modeling and Enterprise Data Architecture. • &nbsp; &nbsp;Proven experience with Data Governance platforms such as IBM Knowledge Catalog, Informatica, or Collibra. • &nbsp; &nbsp;Strong understanding of banking data and regulatory environments (preferred). • &nbsp; &nbsp;Excellent leadership, stakeholder management, and communication skills, with the ability to influence across business and technology teams. • &nbsp; &nbsp;Strong analytical and critical thinking skills, with the ability to address complex data challenges, adapt to change, and drive continuous improvement. &nbsp;What we offer &nbsp; It’s all about our people. At Alpha Bank, you will enjoy: &nbsp; • &nbsp; &nbsp;A friendly and collaborative working environment that supports taking initiative and action. • &nbsp; &nbsp;A culture that centers around learning and continuous development and encourages everyone to bring their best self to work. • &nbsp; &nbsp;The opportunity to challenge your thinking through your participation in complex tasks and transformation projects. • &nbsp; &nbsp;Being part of a large organization with a leading role in the Greek economy and a strong presence in the community. • &nbsp; &nbsp;Flexible working options. • &nbsp; &nbsp;A competitive salary and benefits.

Data Governance Manager

As a Data Governance Consultant, you will work closely with our clients, leading and coaching cross-functional teams to design, implement, and optimize data governance strategies that enable trusted, well-governed data. You will shape roadmaps and guide teams in the end-to-end delivery of data governance projects.Our Services Include:<ul><li>Data Governance Frameworks: Develop governance approaches aligned with business priorities and regulatory needs.</li><li>Data Catalog &amp; Metadata Management: Design solutions to improve data discovery, understanding, and reuse.</li><li>Data Quality Management: Create processes and controls for measuring, monitoring, and improving data quality.</li><li>Operating Models &amp; Stewardship: Define sustainable roles, responsibilities, and workflows across the organization.</li></ul>Leading Responsibilities:<ul><li>Analyze current data management and governance maturity levels, identify gaps, and propose actionable strategies for improvement.</li><li>Develop and tailor governance operating models, policies, and data stewardship frameworks.</li><li>Support data classification, lineage, and metadata management initiatives.</li><li>Assist in designing and implementing data quality measurement and monitoring systems.</li><li>Interview client stakeholders to understand pain points related to data ownership, access, and quality.</li><li>Support business case creation and roadmap planning for data governance programs.</li><li>Contribute to multi-disciplinary teams, providing expertise on data governance in architecture, processes, and operating models.</li><li>Create innovative and differentiated offerings, staying relevant and in sync with market demand and technology evolution.</li><li>Leveraging Accenture’s international assets and expertise to bring new ideas to clients.</li></ul>QualificationWHO WE´RE LOOKING FOR?<ul><li>Bachelor’s degree in computer science, information systems, data management, or equivalent.</li><li>3–5 years of cross-industry consulting or data governance experience.</li><li>Solid understanding of data governance frameworks, data management best practices, and regulatory requirements.</li><li>Experience with data governance and metadata tools (e.g., Collibra, Informatica, Alation) considered a plus.</li><li>Hands-on experience with data engineering concepts, including ETL development, pipelines, and building scalable data solutions.</li><li>Knowledge of Power BI or other leading BI tools for data visualization and reporting.</li><li>Knowledge of data modeling and enterprise architecture principles is a strong advantage.</li><li>Strong business acumen and ability to connect governance initiatives to business priorities.</li><li>Excellent verbal and written communication skills in Greek and English.</li></ul>WHAT'S IN IT FOR YOU?<ul><li>Competitive salary and comprehensive benefits package: life/health insurance, bonus scheme, monthly vouchers, flexible work model, paid overtime (if needed), TEA Accenture, and more.</li><li>Access to&nbsp;continuous learning&nbsp;through global platforms and local academies (Power Platform, AI, Azure certifications, etc.).</li><li>Clear&nbsp;career path&nbsp;with coaching and mentoring opportunities.</li><li>Exposure to top-tier clients, cross-industry projects, and cutting-edge technologies.</li><li>A diverse and inclusive culture that fosters innovation and teamwork.</li><li>Opportunities to participate in social impact and corporate citizenship initiatives.</li><li>Additional relocation support under the&nbsp;Brain Regain initiative.</li></ul>

Data Governance Consultant (Strategy & Consulting)

As part of Data &amp; AI practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.You will lead multidisciplinary teams (onshore and offshore) to design and implement solutions using Python, PySpark, Databricks and modern cloud services, ensuring data flows are secure, reliable, performant, and well‑governed.Responsibilities:<ul><li>Lead and mentor a technical team (5–8 engineers) in designing and delivering data‑engineering solutions across cloud platforms (Azure/AWS/GCP).</li><li>Architect, develop, and optimize ETL/ELT pipelines using Python, PySpark, Databricks, and distributed processing frameworks.</li><li>Design and maintain scalable data architectures, including data lakes, lakehouses, warehouses, Delta tables, and semantic layers.</li><li>Establish best practices in data modelling (dimensional, wide‑table, data vault), data quality, metadata management, and data governance.</li><li>Collaborate with business owners, architects, product managers, and analytics teams to ensure end‑to‑end project delivery.</li><li>Define standards for data operations, monitoring, lineage, and CI/CD for data workloads.</li><li>Drive cloud platform adoption and modernization, ensuring solutions meet performance, cost‑efficiency, and compliance requirements.</li><li>Promote innovation by evaluating new data engineering tools, frameworks, and practices.</li><li>Mentor junior team members, providing guidelines to ensure high-quality deliverables.</li><li>Communicate complex technical solutions to senior management and diverse stakeholders effectively.</li><li>Contribute to sales activities through data and platform architecture expertise</li><li>Stay updated on industry trends and contribute to internal initiatives, R&amp;D, and business development projects.</li></ul>QualificationWHO WE’RE LOOKING FOR?<ul><li>BSc/MSc/PhD in Computer Science, Engineering, Information Systems, Data Management, or related field.</li><li>7+ years of experience in data engineering, with at least 2 years leading small technical teams.</li><li>Industry vendor certifications are desired (e.g. AWS, Azure, GCP, CNCF/Kubernetes or Databricks certifications); although not essential if you have demonstrable ability.</li><li>Strong hands‑on expertise with Python, PySpark, and Databricks (including Lakehouse &amp; Databricks Workflows).</li><li>Experience designing and deploying data solutions on Azure, AWS, or GCP.</li><li>Strong understanding of data modelling techniques, data lifecycle management, and enterprise data principles.</li><li>Expertise in designing, developing, and managing scalable, end-to-end data pipelines (ADF, Airflow or dbt,).</li><li>Proficient in Big Data Platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg or Microsoft Fabric), Data Warehouses (Teradata, Snowflake, BigQuery etc.) and lakehouses (Delta Lake, Apache Hudi)</li><li>Proficient in programming languages such as SQL, Python and Pyspark with strong skills in writing scalable, readable and maintainable code using object-oriented programming concept.</li><li>Implement DevOps practices, including Git workflows and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) to enhance automation and streamline deployments.</li><li>Experience in project management frameworks such as Waterfall or Agile.</li><li>Solid experience with SQL and handling large datasets.</li><li>Familiarity with data governance frameworks (e.g., data quality controls, cataloging, lineage, roles &amp; policies).</li><li>Excellent communication skills—able to translate complex data concepts to both technical and non‑technical stakeholders.</li></ul>Considered a plus (not a prerequisite):<ul><li>Experience with Azure Data Factory, AWS Glue, or GCP Dataflow.</li><li>Experience with Microsoft Fabric solutions</li><li>Knowledge of Lakehouse architecture, Delta Live Tables, and Medallion design patterns.</li><li>Familiarity with CI/CD, DevOps, containerization (Docker/Kubernetes).</li><li>Exposure to data management tools (Purview, Collibra, Informatica, BigID, etc.).</li><li>Experience with different data execution paradigms, including low latency/streaming, batch, and micro-batch processing (Apache Kafka, Databricks Streaming processing, Apache StreamSets).</li><li>Knowledge of data management frameworks (data governance, data quality, data security, data dictionary, metadata management) with tools like Databricks Unity Catalog, Apache Atlas, Informatica etc.</li><li>Familiarity with containerization and orchestration tools like Docker and Kubernetes.</li><li>Understanding of API gateway and service mesh architectures (e.g., Istio).</li><li>Familiarity working with Linux-based operating systems.</li><li>Familiarity with working with REST APIs.</li><li>Experience in pre‑sales, solutioning, or client‑facing delivery leadership.</li><li>Fluency in English (verbal and written).</li><li>All male candidates should have fulfilled their military obligations.</li></ul>WHAT’S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave and various corporate discounts</li><li>Continuous training &amp; development through global platforms &amp; local academy. At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strength and skill-based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work</li></ul>

Data Engineering Manager (Data & AI)

ABC Factors S.A., a subsidiary of Alpha Bank Group, is seeking a&nbsp;MIS &amp; Liabilities Control Associate&nbsp;to join its MIS &amp; Liabilities Control team.As a MIS &amp; Liabilities Control Associate, you support the preparation of accurate, timely, and reliable management information and reports by contributing to the collection, validation, and processing of data, in line with established standards and procedures.&nbsp;What you will be doing&nbsp;<ul><li>Contribute to the preparation of reports and analyses related to product and portfolio volumes, costs, and profitability, in line with established templates and guidelines</li><li>Contribute to the operation and ongoing support of the Management Information Systems (MIS), through data collection, validation, and basic data quality checks</li><li>Collect, format, and reconcile data and information required for reporting and Key Performance Indicator (KPI) tracking</li><li>Contribute to routine payment processing and cash monitoring activities, in line with established procedures and controls</li><li>Contribute to activities under the Company’s Data Governance Framework, supporting consistent data definitions, basic data quality controls, and reporting data reliability</li><li>Contribute to data-related projects by supporting the implementation of validation rules and basic data controls across systems and reporting processes, in line with agreed data and reporting standards</li></ul>&nbsp;What you need to have&nbsp;<ul><li>A Bachelor’s degree in Finance, Statistics, Banking, Business Administration, or another related field. A Master’s degree in one of the above-mentioned fields would be considered a plus.</li><li>A minimum of one (1) to three (3) years of experience in Management Information Systems (MIS) or a related function</li><li>Experience or exposure to reporting and regulatory compliance requirements, supporting accurate and reliable information flows</li><li>Knowledge of data management principles, including data collection, validation, and reconciliation, to ensure data consistency and reporting quality</li><li>Familiarity with database management concepts and data analysis practices, supporting effective reporting processes</li><li>Understanding of operational effectiveness and control frameworks, contributing to process accuracy and compliance</li><li>Strong analytical thinking and result-oriented mindset, enabling the interpretation of data and identification of insights</li><li>Effective communication and collaboration skills, supporting coordination with multiple internal stakeholders</li><li>Strong time management skills and attention to detail, ensuring timely delivery and accuracy of reports</li></ul>&nbsp;What we offerIt’s all about our people. At Alpha Bank Group, you will enjoy:&nbsp;• A friendly and collaborative working environment that supports taking initiative and action.• A culture that centers around learning and continuous development and encourages everyone to bring their best self to work.• The opportunity to challenge your thinking through your participation in complex tasks and transformation projects.• Being part of a large organization with a leading role in the Greek economy and a strong presence in the community.• A competitive salary and benefits.

MIS & Liabilities Control Associate

As a Senior Cloud Data Engineer at Accenture, you will play a key role in designing and delivering modern cloud-based data platforms that power analytics, AI, and business innovation. You’ll partner with clients and cross-functional teams to transform raw business requirements into scalable, high-performance solutions that create real impact.Responsibilities:<ul><li>Guide projects from design to delivery, providing expert technical consultation and contributing to strategic initiatives.</li><li>Lead, mentor, and coach junior team members while managing project deliverables and ensuring high standards of quality.</li><li>Collaborate with clients in workshops to validate business requirements and architect robust Cloud BI/DWH applications.</li><li>Leverage data analysis skills to design, build, test, and deploy advanced ETL processes for enterprise data.</li><li>Ensure the quality of technical designs and deliverables while defining and implementing process improvements and optimization techniques</li></ul>QualificationWHO WE´RE LOOKING FOR?<ul><li>Bachelor's degree in Computer Science or a related field.</li><li>5+ years of experience in data engineering, with a focus on cloud platforms like Azure, AWS, or GCP.</li><li>Strong understanding of data management and data warehousing principles.</li><li>Proven experience with Cloud data platforms (e.g Databricks, MS Fabric, Azure Synapse Analytics, Azure DataLake, AWS S3, Google GCP).</li><li>Proficiency in SQL, Python, and PySpark for building scalable and maintainable code.</li><li>Expertise in designing end-to-end data pipelines and implementing DevOps practices like CI/CD.</li><li>Experience with data visualization tools (Power BI, Tableau)&nbsp;&nbsp;</li><li>Experience in project management methodologies (Agile, Waterfall).</li><li>Experience in team leadership and mentorship.</li><li>Relevant industry certifications (Azure, AWS, GCP) are a plus.</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work ec.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Senior Data Engineer in Athens or Thessaloniki

As a Cloud Data Engineer at Accenture, you’ll work in cross-functional teams to help our clients unlock the power of their data. You’ll design, build, and deploy modern data solutions on leading cloud platforms, creating the foundations that enable advanced analytics and AI.Responsibilities:<ul><li>Develop data applications &amp; solutions with a focus on learning core skills and performing&nbsp; tasks without&nbsp; supervision.</li><li>Handle increasingly complex tasks with moderate supervision, applying learned knowledge to deliver results and solve routine problems.</li><li>Build and optimize scalable data pipelines and workflows in cloud environments.</li><li>Support data architects by gathering requirements and helping define data models and architecture.</li><li>Maintain data quality and governance standards while collaborating with cross-functional teams to align data solutions with business needs.</li><li>Participate in process improvements and apply DevOps practices to streamline workflows.</li></ul>QualificationWHO WE´RE LOOKING FOR?<ul><li>Bachelor's degree in Computer Science, Information Systems, or a related field.</li><li>Min 1 year of experience in data engineering, with a focus on cloud platforms like Azure, AWS, or GCP</li><li>Foundational knowledge of data warehousing and data management concepts.</li><li>Competence in SQL and/or Python/Pyspark programming languages.</li><li>Moderate experience with Cloud data platforms (e.g Databricks, MS Fabric, Azure Synapse Analytics, Azure DataLake, AWS S3, Google GCP) and knowledge/understanding of data visualization tools (Power BI, Tableau).</li><li>Familiarity with ETL tools (e.g. Azure Data Factory, dbt) and cloud platforms (Azure, AWS, GCP).</li><li>Strong analytical and problem-solving skills.</li><li>Team-oriented mindset and a willingness to learn in a fast-paced environment.</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Cloud Data Engineer in Athens or Thessaloniki

The&nbsp;Solution Designer&nbsp;will be joining the software development team of Risk Management Domain of Alpha Bank IT Digital Services &amp; Data Analytics Division. You will be responsible for designing and overseeing the implementation of software solutions that meet the business requirements in areas such as Risk Management, Capital Management, MIS, ALM etc.&nbsp;You will work closely with cross functional IT teams and stakeholders to define architecture, guide development teams &amp; vendors, and ensure the successful delivery of projects. What you will be doing&nbsp;<ul><li>Collaborate with cross functional teams to understand their business objectives and technical requirements.</li><li>Understand and review the business and application requirements and define the solution requirements, ensuring they are consistent with the Bank’s IT strategy and practices.</li><li>Create High-Level technical solution design and produce relevant documentation.</li><li>Coordinate and consolidate High-Level Estimations, based on the high-level business requirements.</li><li>Participate in projects estimation and planning, providing technical input and helping the team set realistic goals and timelines.</li><li>Collaborate with Project Manager to create project milestone planning.</li><li>Cooperate with software engineers, data engineers, system engineers, and business analysts to implement effective and efficient software or data management solutions applying DevOps methods and iterative delivery.</li><li>Assess the impact of changes and enhancements on the existing architecture.</li><li> </li></ul> What you need to have&nbsp;<ul><li>BSc in Computer Science, Information Systems, Engineering, or any other related discipline.</li><li>Understanding of software engineering principles and best practices for building modular and maintainable systems.</li><li>Experience in designing scalable and resilient systems that meet performance, security, and reliability requirements.</li><li>Experience in DevOps and Agile methods and practices, familiarity with data modelling techniques, database design, optimization, and query tuning.</li><li>Familiarity with one or more RDBMS like Microsoft SQL Server, Oracle, PostgreSQL.</li><li>Familiarity with architectural patterns like SOA (Service-Oriented Architecture), microservices design patterns, message brokers (e.g., Apache Kafka) and integration frameworks (e.g., Apache Camel).</li><li>Prior experience in a banking environment will be considered an asset.</li></ul>What we offer&nbsp;It’s all about our people. At Alpha Bank, you will enjoy:&nbsp;<ul><li>A friendly and collaborative working environment that supports taking initiative and action.</li><li>A culture that centers around learning and continuous development and encourages everyone to bring their best self to work.</li><li>The opportunity to challenge your thinking through your participation in complex tasks and transformation projects.</li><li>Being part of a large organization with a leading role in the Greek economy and a strong presence in the community.</li><li>Flexible working options.</li><li>A competitive salary and benefits.</li></ul>&nbsp;All applications will be acknowledged and treated in utmost confidence.

Solution Architect

A curious learner and visionary leader, with your finger on the pulse of the latest technology solutions. You feel comfortable and have a keen interest in everything industrial, and you are passionate about manufacturing and digital engineering. You’re not afraid to think outside the box, and you’ve guided clients through their digital transformations. There’s a depth and breadth to your knowledge of digital products, industrial concepts and implementation options — and you’re generous about sharing that wisdom with colleagues. Communication and people skills? Yours are a cut above, which is why you’re so good at building and managing a team-centric environment. And when it comes to problem-solving, your creative and analytical abilities shift into high gear.What will you do?<ul><li>You will work closely with our clients in innovative projects to help them transform, grow and adapt in an increasingly digital world. Specifically, you will be part of the teams that will develop a series of tools and implement Data Analysis and Statistical methodologies to provide actionable insights into operational performance.</li><li>Generate tables, figures and dashboards for presentation and interpretation of results in accordance with project requirements</li><li>Analyze large datasets to derive meaningful insights that can be translated into actionable recommendations to the client.</li><li>Validate data analysis results with team members to ensure high quality deliverables, define &amp; calculate a series of performance KPIs based on client data.</li><li>Offer technical expertise to clients during the implementation and maintenance of solutions. Diagnose and resolve any issues promptly, in order to ensure seamless functionality.</li><li>Engage customers/stakeholders during the entire development lifecycle.</li></ul>QualificationHere’s what you need to be successful<ul><li>MSc in Computer Science, Statistics, Mechanical, Electrical, Electronic, Chemical, Industrial or Production Engineering</li><li>Experience (up to 2 years) working in digital transformation programs and implementation of the technology solutions in information systems’ environments. Hands on experience on data management and analytics tools will be considered a plus.</li><li>Knowledge of basic programming skills (Python, SQL, Pyspark) paired with a strong analytical and problem-solving mindset.</li><li>Fluency in Greek and English (verbal and written)</li></ul>Bonus points if:<ul><li>Working experience in one or more of the following domains: Energy, Utilities, Oil&amp;Gas, Industrial, Consumer Goods, Logistics and Transportation, Manufacturing and Industrial Automation, Pharmaceutical.</li><li>Experience with Cloud Technologies (MS Azure, GCP, AWS)</li><li>Experience in analytical manipulation and interpretation of large databases</li><li>Ability to work as a team player in a multinational project team</li><li>Understanding of OT technologies and ability to interpret and analyze data effectively</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Industry X Analyst

As a .NET Software Engineer, you will be part of a hybrid agile team, working on a variety of gaming and entertainment-related digital platforms. You’ll be involved in the design, development, and evolution of scalable software systems that power real-time applications used by millions of users across the globe.Key Responsibilities: The developer will be involved in the full development cycle within Agile teams, contributing from technical design to implementation, ensuring performance, scalability, and excellent user experience across international markets.Key Responsibilities:<ul><li>Design and implement robust, scalable backend services, delivering features from concept to production with a strong focus on performance and reliability.</li><li>Translate complex functional requirements into clean, maintainable systems using C#, ASP.NET Core, and .NET 8.</li><li>Develop within a high-availability, large-scale infrastructure, handling real-time operations and significant data volumes.</li><li>Work with MS SQL Server, Redis, ElasticSearch, and RabbitMQ to ensure efficient data management and asynchronous communication.</li><li>Collaborate in Agile teams to deliver high-impact solutions, following best practices in coding, testing, and CI/CD.</li><li>Continuously research and adopt new technologies to optimize development processes and system architecture.</li><li>Contribute to a culture of code quality, peer reviews, and technical excellence, challenging assumptions and promoting innovation.</li></ul>WHO WE’RE LOOKING FOR<ul><li>B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related technical field.</li><li>At least 4 years of professional experience in building production-grade software using the Microsoft .NET ecosystem.</li><li>Strong proficiency in C# and hands-on experience with ASP.NET MVC and RESTful Web APIs.</li><li>Solid understanding of core web protocols and concepts such as HTTP, REST, and API design.</li><li>Good grasp of algorithms, data structures, and practical use of design patterns, including familiarity with commonly used architectural approaches.</li><li>Experience working with SQL-based databases and message brokers such as RabbitMQ.</li><li>A mindset focused on clean, maintainable code and software quality, with attention to detail and strong debugging skills.</li><li>Comfortable working in Agile environments, collaborating effectively with peers in cross-functional teams.</li><li>Excellent command of English in both spoken and written form; fluency in Greek is also required.</li><li>A proactive, self-motivated attitude with strong ownership and problem-solving abilities.</li></ul>WHAT´S IN IT FOR YOU?Let’s talk about us:<ul><li>Hybrid working model</li><li>A competitive salary</li><li>Signing Bonus</li><li>Brand new equipment</li><li>Exciting &amp; friendly work environment</li><li>Career &amp; competencies’ development</li><li>Continuous learning &amp; development experience based on infinity model through Code.Hub’s Code.Learn</li><li>L&amp;D plan for your career improvement</li><li>A truly open, inclusive, and competitive-free environment to grow your skills and have fun!</li><li>Internal competitions &amp; rewards.</li></ul>Let’s talk about Code.Hub-ers:<ul><li>You are eligible to free LinkedIn trainings</li><li>You are eligible to have free pass to all training Code.Learn activities after 6 months from your induction</li><li>Training &amp; Tech Mentor for your induction.</li><li>Unlimited access to LinkedIn Learning platform (1st semester).</li><li>Sponsoring of a Bachelor and/or Master’s Degree from Athens Tech College.</li><li>Private Health Insurance.</li><li>Performance planning each six months and each two years planning of promotion.</li><li>Free Lunch/Snack every day &amp; Cocktail Fridays @ our offices.</li><li>Referral Bonus.</li></ul>

Software Engineer (.NET)

That’s where&nbsp;Accenture Strategy &amp; Consulting - Data &amp; AI&nbsp;comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients.&nbsp;Strategy and Consulting&nbsp;is one of four services –the others are Song, Technology and OperationsWORK YOU’LL DOAs part of Data &amp; AI practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.Key Responsibilities:<ul><li>Assist in the development and optimization of scalable data pipelines and workflows in cloud environments.</li><li>Support senior data engineers and architects by gathering requirements and helping define robust data models and architecture.</li><li>Apply DevOps practices, including basic Git workflows and involvement in CI/CD pipelines.</li><li>Contribute to maintaining data quality, security, and governance standards across all data-related activities.</li><li>Collaborate with cross-functional teams to ensure data solutions align with business needs and quality standards.</li><li>Research, design, build, and implement Machine Learning systems, and maintain, and improve existing ones</li></ul>show lessQualificationsWHO WE´RE LOOKING FOR?&nbsp;<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>Some experience or internships in data engineering or a related field, demonstrating foundational skills. Proficiency in SQL and experience with programming languages such as Python or PySpark.</li><li>Understanding of data modeling concepts and databases/data warehouses (Azure Synapse Analytics, Databricks SQL Warehouse, Snowflake, SQL Server or Big Query).</li><li>Familiarity with ETL tools such as (Data Factory, dbt, Airflow, Apache Nifi or Informatica).</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP).</li><li>Good analytical skills and a problem-solving mindset.</li><li>Ability to collaborate in multinational environments.</li><li>Willingness to travel and proficiency in Greek and English.</li></ul>Considered a plus:<ul><li>Some exposure to big data technologies and parallel processing tools such as Apache Hive, Spark, Kafka or Flink.</li><li>Familiarity with the Databricks platform, including its components like Delta Lake, Databricks SQL, and Mlflow for comprehensive big data analytics and machine learning workflows.</li><li>Familiarity with data management frameworks (data governance, data quality, data security, data dictionary, metadata management).</li><li>Understanding of DevOps practices, including Git workflows and CI/CD pipelines with experience using tools such as Azure DevOps, Jenkins, and GitHub Actions.</li><li>Enthusiastic about learning and adopting new technologies and methodologies.</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

AI & Data Engineer

We’re&nbsp;looking for a Data Architect to drive the design, evolution, and governance of data architecture across the organization. In this role,&nbsp;you’ll&nbsp;collaborate closely with multiple functional groups and technology leaders to translate business needs into scalable, well-structured data solutions.&nbsp;You’ll&nbsp;provide&nbsp;best-practice guidance on data management, modeling, and architecture design, ensuring data platforms are robust, efficient, and aligned with strategic&nbsp;objectives.&nbsp;This is an exciting opportunity to shape data-centric initiatives, influence enterprise-level decisions, and enable teams to&nbsp;leverage&nbsp;high-quality data in support of impactful business outcomes.<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Develop conceptual, logical, and physical data models, focusing on design (structure, semantics, constraints, and alignment to business meaning), including key physical design considerations such as indexing and partitioning&nbsp;</li><li>Define and&nbsp;maintain&nbsp;reference and target data architectures (including standards and reusable patterns) across operational systems, event/streaming platforms, and analytical environments (data warehouse/lakehouse)&nbsp;</li><li>Drive architectural decision-making and trade-offs (e.g., consistency, performance, scalability, cost, operability, security), and contribute to architecture documentation practices that capture and govern those decisions&nbsp;</li><li>Support the implementation of the organizational data strategy, including database design standards, data warehouse architecture, standards and guidance, and analytics platform integration&nbsp;</li><li>Assist&nbsp;with the deployment and extension of the Enterprise Data Catalogue&nbsp;</li><li>Contribute to the creation and maintenance of architecture processes and documentation standards&nbsp;</li><li>Partner closely with project teams as an embedded contributor, guiding schema design, physical design choices (e.g., indexing and partitioning), data access patterns, and query optimization best practices, supporting teams through design reviews and delivery&nbsp;</li><li>Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation&nbsp;</li><li>Govern changes to architectural artefacts and ensure systems conform to&nbsp;established&nbsp;data architecture guidelines&nbsp;</li><li>Define data flows and integration patterns across applications and services, including operational systems, streams, and analytical platforms (batch and real-time), with clear ownership and information dissemination patterns&nbsp;</li></ul><h2>Main requirements:</h2><ul><li>BSc/MSc in Computer Science, Information&nbsp;Technology&nbsp;or related field.&nbsp;</li><li>Minimum of 3 years of experience in data modelling, data engineering, database design, or data architecture roles.&nbsp;</li><li>Strong&nbsp;expertise&nbsp;in conceptual, logical, and physical data&nbsp;modelling, with solid SQL skills to bring designs to life.&nbsp;</li><li>Proficiency&nbsp;in Python for data-related work (e.g., automation, prototyping, analysis, validation, data quality checks, and tooling around data pipelines/integrations).&nbsp;</li><li>Experience working with cloud-based data platforms and modern data warehouse or&nbsp;lakehouse&nbsp;architectures&nbsp;</li><li>Good understanding of software development lifecycles, requirements analysis, and technical design best practices.&nbsp;</li><li>A collaborative mindset, with the ability to build trusted relationships across business and technical teams.&nbsp;</li><li>Exposure to&nbsp;data governance, metadata management, and data quality frameworks, with an appreciation for well-managed data.&nbsp;</li><li>Confidence in advising on ETL/ELT patterns, data integration solutions, and data orchestration technologies.&nbsp;</li><li>Experience in graph databases, vector databases/semantic search capabilities, feature stores, or related ML/AI data architectures would be considered a plus.&nbsp;</li><li>A proactive, self-driven professional who thrives in agile environments and enjoys shaping scalable data solutions.&nbsp;</li></ul><h2>Benefit from:</h2><ul><li>Attractive&nbsp;remuneration&nbsp;package&nbsp;&nbsp;</li><li>Private health insurance&nbsp;</li><li>Corporate pension fund&nbsp;&nbsp;</li><li>Intellectually stimulating work environment&nbsp;</li><li>Continuous personal development and international training opportunities&nbsp;</li></ul><h2>The Hiring Experience: What Awaits You</h2><ul><li>Let’s&nbsp;Connect – Intro Chat with Talent Acquisition &nbsp;</li><li>Deep Dive – First Interview with Your Future Team &nbsp;</li><li>Bring It to Life – Role-Specific Take-Home Task &nbsp;</li><li>Final Connection – Final Interview &nbsp;</li></ul>All applications will be treated with strict confidentiality!

Data Architect

We are seeking an a highly skilled and experienced Management Consultant with a strong background in Data Transformation and Data Migration. As the ideal candidate your role will be to support customer in their data transformation journey by implementing across Data Management solutions covering Data Migrations. You will also act as a strategic advisor, translating complex AI capabilities into tangible business value, defining transformative roadmaps, and managing the delivery of AI-powered solutions across diverse industries.This role requires hands on and well versed with solutions, technical expertise and good communication skills to participate in business discussions.Key Responsibilities:<ul><li>Perform functional consulting activities in advisory &amp; implementation projects with a focus on Data Migration and Data Quality.</li><li>Be the link between business, the project manager, and functional/technical consultants about data migration and data quality.</li><li>Assess technical landscape, source systems, applications &amp; technical artifacts, and recommend Strategy for Data Migration &amp; Data Quality Improvement.</li><li>Contribute to the development of the migration rules, documenting these rules, developing user test cases for migration test runs, testing the rules during the migration runs.</li><li>Collect and formulate business requirements via interviews and user discussions.</li><li>Support the business in all questions related to migration; of analyzing and preparing the data, in extracting the data, in transforming the data, in validation of the migration, in verifying data in the target system.</li><li>Analyze legacy systems and current data structures to assess migration requirements and identify potential challenges.</li><li>Define data quality standards, validation rules, and governance frameworks to ensure data integrity post-migration.</li><li>Design and implement data transformation rules, ensuring data integrity and execute data migration strategies, including ETL processes, validation, and reconciliation.</li><li>Collaborate with clients and stakeholders to collect and document business requirements for data transformation and migration projects.</li><li>Analyze existing business processes, identify areas for improvement, and define data-related process workflows.</li><li>Develop functional specifications and ensure they align with technical solutions. Provide clear requirements to technical teams.</li><li>Act as the primary point of contact between clients, business units, and technical teams to ensure alignment and clarity.</li><li>Develop and execute functional test plans, including user acceptance testing (UAT), to validate data accuracy and process functionality.</li><li>Provide end-user training and create detailed documentation for processes, workflows, and best practices.</li><li>Advise clients on AI strategy, identifying high-impact use cases and building actionable adoption roadmaps.&nbsp;</li><li>Manage the end-to-end agile delivery of AI solutions, translating business needs into successful products.&nbsp;</li><li>Act as the primary bridge between business stakeholders and technical teams to ensure AI solutions meet strategic goals.&nbsp;</li><li>Champion change management to drive user adoption of AI tools and foster a culture of innovation.&nbsp;</li></ul>QualificationWHO WE ARE LOOKING FOR:Required Skills and Qualifications:<ul><li>Bachelor's or Master's degree in Business Administration, Management, Data Science, or a related field.</li><li>Minimum of 5 years of experience in data transformation, migration, or related consulting roles.</li></ul>Preferred Skills:<ul><li>Strong expertise in ETL tools (e.g., Informatica, Talend, SSIS).</li><li>Proficiency in SQL and relational databases (e.g., Oracle, SQL Server, MySQL).</li><li>Experience with data migration in ERP systems (SAP, Oracle, etc.) is highly desirable.</li><li>Familiarity with cloud platforms (AWS, Azure, Google Cloud) and data warehousing concepts.</li><li>Strong problem-solving and analytical thinking abilities.</li><li>Ability to analyze complex data sets and design effective transformation rules.</li><li>Strong attention to detail and commitment to data quality.</li><li>Experience working in a consulting firm or client-facing environment.</li><li>Knowledge of industry-specific data standards and regulatory requirements.</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work ec.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Data Transformation and Migration Consultant

As part of Data &amp; AI practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.Key Responsibilities:<ul><li>Collaborate globally with data engineers, architects, and business stakeholders to define robust data architecture and modeling requirements.</li><li>Develop and optimize ETL processes to integrate data from various sources, ensuring high data quality and reliability.</li><li>Adhere to software engineering best practices for maintainable, scalable, and robust data solutions.</li><li>Mentor junior team members, providing guidelines to ensure high-quality deliverables.</li><li>Communicate complex technical solutions to senior management and diverse stakeholders effectively.</li><li>Contribute to sales activities through data and platform architecture expertise</li><li>Stay updated on industry trends and contribute to internal initiatives, R&amp;D, and business development projects.</li><li>Research, design, build, and implement Machine Learning systems, and maintain, and improve existing ones</li></ul>show lessQualificationsWHO WE´RE LOOKING FOR?&nbsp;<ul><li>Bachelor's degree in Computer Science, Engineering or related fields.</li><li>Master’s or PhD in Computer Science, Engineering or related fields is strongly recommended.</li><li>Industry vendor certifications are desired (e.g. AWS, Azure, GCP, CNCF/Kubernetes or Databricks certifications); although not essential if you have demonstrable ability.</li><li>3+ years in data engineering, with a strong emphasis on cloud environments - AWS, GCP, Azure, or Cloud Native platforms.</li><li>Expertise in designing, developing, and managing scalable, end-to-end data pipelines (ADF, Airflow or dbt,).</li><li>Proficient in Big Data Platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg or Microsoft Fabric), Data Warehouses (Teradata, Snowflake, BigQuery etc.) and lakehouses (Delta Lake, Apache Hudi)</li><li>Proficient in programming languages such as SQL, Python and Pyspark with strong skills in writing scalable, readable and maintainable code using object-oriented programming concept.</li><li>Implement DevOps practices, including Git workflows and CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) to enhance automation and streamline deployments.</li><li>Experience in project management frameworks such as Waterfall or Agile.</li><li>Knowledge in MLOps practices, utilizing MLflow for experiment tracking, model registry, model evaluation, and model serving.</li><li>Ability to collaborate in multinational environments.</li><li>Willingness to travel and proficiency in Greek and English.</li></ul>Considered a plus:<ul><li>Experience with different data execution paradigms, including low latency/streaming, batch, and micro-batch processing (Apache Kafka, Databricks Streaming processing, Apache StreamSets).</li><li>Knowledge of data management frameworks (data governance, data quality, data security, data dictionary, metadata management) with tools like Databricks Unity Catalog, Apache Atlas, Informatica etc.</li><li>Familiarity with containerization and orchestration tools like Docker and Kubernetes.</li><li>Understanding of API gateway and service mesh architectures (e.g., Istio).</li><li>Familiarity working with Linux-based operating systems.</li><li>Familiarity with working with REST APIs.</li></ul>WHAT’S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous training &amp; development through global platforms &amp; local academy. At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strength and skill-based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website accenture.com/gr-en/.The safety and well-being of our candidates and employees remain our priority. Please note that the recruitment process for opportunities in Accenture Greece will be conducted only via online format during the current period.

Senior AI & Data Engineer

As part of the Clinical Data Sciences (CDS) group, an integral delivery unit within the Clinical Development &amp; Operations (CD&amp;O) organization, the Database Analyst is responsible for the programming of high-quality clinical databases and supporting assigned segments of the Pfizer portfolio. Accountabilities include the design, development, and maintenance of clinical databases, ensuring the integrity of clinical data, application of standards supporting consistency in asset/submission data.ROLE RESPONSIBILITIES&nbsp;&nbsp;<ul><li>Works closely with department roles and cross-functional study team members to create data capture solutions that support the quality and timely delivery of data required per standard and study specific data review plans&nbsp;</li></ul><ul><li>Complies with applicable SOPs and work practices&nbsp;</li></ul><ul><li>Learns Pfizer database technologies&nbsp;</li></ul><ul><li>Develops knowledge of data capture tools and methods that support the accuracy and integrity of study data&nbsp;</li></ul>BASIC QUALIFICATIONS&nbsp;&nbsp;<ul><li>Bachelor's degree in a Life Science, Computer Science or equivalent&nbsp;</li></ul><ul><li>Minimum of 1 years of relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency with an emphasis on building data collection and assimilation solutions&nbsp;</li></ul><ul><li>Experience in Oracle, PL/SQL, SAS, Java, relational database design and database programming skills&nbsp;</li></ul>&nbsp;PREFERRED QUALIFICATIONS&nbsp;<ul><li>Technical skills and experience using relational databases (e.g. Oracle InForm, Oracle DMW, MS SQL Server or MS Access)&nbsp;&nbsp;</li></ul><ul><li>Strong communication (written and oral), decision-making, influencing, negotiation, and project management skills&nbsp;</li></ul><ul><li>Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.)&nbsp;</li></ul><ul><li>Understanding of drug development process and data operations required for the reporting of clinical trial data (e.g. data review, study reports, regulatory submissions, safety updates, etc.)&nbsp;</li></ul><ul><li>Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable</li></ul>

Associate Database Analyst, Clinical Database Management 4956612

As part of Artificial Intelligence practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a global team of data scientists, data engineers, and experts in AI &amp; ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries. Responsibilities:<ul><li>Understand and shape client requirements; translate them into actions that will be used to drive Data Science components, design and configuration (data model, advanced analytics, consumption/visualization)</li><li>Accountable for the design, development and delivery of Data Science &amp; ML solutions, working with data science, engineering and operations teams</li><li>Lead a team of 5-8 people, working in a multicultural environment with fixed deadlines and changing priorities</li><li>Contribute to internal R&amp;D and business development activities through AI &amp; ML expertise</li><li>Provide thought leadership, best practices, and standards on advanced analytics &amp; ML techniques</li><li>Drive understanding and decision making from data through the intersection of business, analytics, and design.</li><li>Act as Project Lead in client Scrums and lead the delivery of Data Science projects in Marketing, Customer &amp; Sales Analytics.</li><li>Present and create appropriate documentation to communicate with and educate stakeholders.</li><li>Influence &amp; inspire the team with the technical expertise on Data Science &amp; Cloud solutions and the soft skills required for stakeholder management, setting the correct expectations</li><li>Create project plans, including resourcing &amp; expenses. Ability to turn quickly the brilliant ideas into plan with clear actions and expectations</li></ul>QualificationWHO WE’RE LOOKING FOR?<ul><li>BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University</li><li>Minimum of 7+ years of proven working experience in Data Science &amp; ML areas, leading a team of 5-8 people</li><li>Solid theoretical and hands-on knowledge of Econometrics, Statistics, Data Mining, Machine Learning &amp; AI concepts</li><li>Exceptional programming skills in Data Science scripting: Python / R / Scala / Julia); knowledge of&nbsp;Java and/or C/C++ would be considered a plus</li><li>Experience with Cloud Technologies (MS Azure, GCP, AWS)</li><li>Understanding of ML lifecycle and hands-on experience with ML Ops</li><li>Working under an Agile Framework with CICD principles</li><li>Exceptional analytical and critical thinking skills with&nbsp;demonstrated ability to think strategically; turn data into effective strategies and drive results</li><li>Ability to communicate results effectively and explain technical methodologies in non-technical audience</li><li>Ability to work as a team player in multinational project teams</li><li>Fluency in English (verbal and written)</li><li>All male candidates should have fulfilled their military obligations</li><li>Considered a plus (not a prerequisite):</li><li>Familiarity with Deep Learning concepts &amp; tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.)</li><li>Experience in SQL and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)</li><li>Visualization tools (Power BI, Tableau)</li><li>Experience in international markets and familiarity with FMCG, Retail or Energy/ Recourses/ Utilities etc. industries</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work ec.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Data Science Manager (Athens)

As part of Data &amp; AI practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.Responsibilities:<ul><li>Understand client requirements and business problems with uncertainty, translate them into actions that will be used to drive Data Science components, design and configuration (data model, advanced analytics, consumption/ visualization)</li><li>Support the development and delivery of Data Science &amp; ML solutions, working closely with data science, engineering and operations teams (from data acquisition/manipulation and exploratory analysis, to DS/ML models and interpretation of results)</li><li>Lead a team of 2-4 people, working in a multicultural environment&nbsp;with fixed deadlines and changing priorities</li><li>Provide guidelines on best practices to development teams and ensure high-quality of deliverables</li><li>Communicate solutions &amp; results to senior management and client stakeholders</li><li>Contribute to internal R&amp;D and business development activities through AI &amp; ML expertise</li><li>You will be part of a global team of data scientists, data engineers, and experts in AI &amp; ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries.</li></ul>QualificationWHO WE´RE LOOKING FOR?WHO WE’RE LOOKING FOR?<ul><li>BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University</li><li>At least 4 years of proven working experience in Data Science &amp; ML areas to solve business problems</li><li>Knowledge of Data Science and Machine Learning concepts and algorithms such as Clustering, Regression, Classification, Forecasting, Hyperparameters optimization, NLP, Computer Vision, Speech processing, IoT data modeling, Geospatial data analysis</li></ul>Considered a plus (not a prerequisite):<ul><li>Proficiency in programming languages &amp; Data Science scripting: R / Scala / Julia</li><li>Familiarity with Deep Learning concepts &amp; tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.)</li><li>Experience in analytical manipulation and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)</li><li>Visualization tools (Power BI, Tableau)</li><li>Proficiency in Python programming language &amp; Data Science scripting</li><li>Exceptional analytical and critical thinking skills</li><li>Proven experiencein at least one cloud based analytics platform (eg. Databricks, BigQuery, Snowflake, Synapse, Amazon Redshift)</li><li>Experience with Cloud Technologies (MS Azure, GCP, AWS)</li><li>Understanding of ML lifecycle and hands-on experience with ML Ops</li><li>Working under an Agile Framework with CI/CD principles</li><li>Ability to work as a team player in a multinational project team</li><li>Ability to collaborate with individuals from varying backgrounds and skill-sets (ie Product Managers, Project Managers, Operations, Engineers, etc)</li><li>Ability to travel and gain exposure in multinational companies across a range of industries</li><li>Fluency in Greek and English (verbal and written)</li><li>us.</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work ec.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

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