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We are looking for an experienced data solution architects to join our growing capability. As a data solution architect, you will be responsible for driving the vision for data use in our organization and aligning our data structure, integration approaches and solution designs to organizational standards, compliance needs and to match business requirements. This role is to support a large multi-year program modernising our application landscape where in establishing and aligning our data into the broader ecosystem is imperative. Responsibilities •&nbsp;&nbsp;&nbsp;&nbsp;Define the solution and data architecture for our data assets in line with business and technical requirements •&nbsp;&nbsp;&nbsp;&nbsp;Make suitable choices in technology, framework and pattern to deliver our data assets&nbsp; •&nbsp;&nbsp;&nbsp;&nbsp;Support our delivery teams in building high quality data assets which are supportable and maintainable &nbsp; •&nbsp;&nbsp;&nbsp;&nbsp;Communicate, socialize and collaborate on designs and solution architecture with engineers, project managers and stakeholders •&nbsp;&nbsp;&nbsp;&nbsp;Own and maintain the data and solution architectures for our application estate •&nbsp;&nbsp;&nbsp;&nbsp;Contribute and align our application date into our Data Strategy&nbsp; •&nbsp;&nbsp;&nbsp;&nbsp;Specify the data management standards to ensure data integrity, quality, security, confidentiality, and compliance with legal requirements •&nbsp;&nbsp;&nbsp;&nbsp;Develop solutions for data storage, management and processing, using the appropriate technologies (e.g., relational DBs, data lakes, etc.) •&nbsp;&nbsp;&nbsp;&nbsp;Designs logic and solutions to manage data flows across systems and solutions, identifying and addressing potential issues and bottlenecks •&nbsp;&nbsp;&nbsp;&nbsp;Ensures the creation of appropriate documentation of data assets •&nbsp;&nbsp;&nbsp;&nbsp;Provide cost projections for the developing and operating data platformsQualificationsQualifications&nbsp;•&nbsp;&nbsp;&nbsp;&nbsp;Bachelor’s degree in Computer Science, Engineering, or a related field preferred; but degrees from other fields accepted with a track record of relevant experience. •&nbsp;&nbsp;&nbsp;&nbsp;Extensive and demonstrable experience of data lakes, data warehouses, reporting solutions and the common architectural patterns associated with and adjacent to these types of solutions. •&nbsp;&nbsp;&nbsp;&nbsp;Experience with modernizing and normalizing legacy data models and aligning them into a CDM and integration into a wider data ecosystem including data lakes, data warehouses or comparable data solutions in a financial services organization, or similar large and regulated organization. •&nbsp;&nbsp;&nbsp;&nbsp;Extensive and demonstrable experience in: o&nbsp;&nbsp;&nbsp;&nbsp;Communicating designs down to engineering teams and project managers for delivery o&nbsp;&nbsp;&nbsp;&nbsp;Collaborating with senior engineers and architecture peers on designs and;&nbsp; o&nbsp;&nbsp;&nbsp;&nbsp;In considering design in terms of deliverability, business value and business benefits •&nbsp;&nbsp;&nbsp;&nbsp;Strong experience working on Azure with Databricks and Snowflake and in building solutions on these platforms. •&nbsp;&nbsp;&nbsp;&nbsp;Strong understanding of Spark as a framework as well as SQL and Python as languages; and their associated ecosystem on our technology stack. •&nbsp;&nbsp;&nbsp;&nbsp;Experience in designing data structures for relational and non-relational data systems.&nbsp; •&nbsp;&nbsp;&nbsp;&nbsp;Experience in data modelling, schema management, data cataloguing and performance turning of data structures for varied downstream data consumption needs. •&nbsp;&nbsp;&nbsp;&nbsp;Excellent leadership and people management skills. •&nbsp;&nbsp;&nbsp;&nbsp;Strong analytical and problem-solving abilities. •&nbsp;&nbsp;&nbsp;&nbsp;Exceptional communication and interpersonal skills. Nice to Have •&nbsp;&nbsp;&nbsp;&nbsp;Strong analytical and problem-solving skills. •&nbsp;&nbsp;&nbsp;&nbsp;Strong communication skills, written and verbal. •&nbsp;&nbsp;&nbsp;&nbsp;Strong presentation skills. •&nbsp;&nbsp;&nbsp;&nbsp;Ability to multi-task and work under pressure. •&nbsp;&nbsp;&nbsp;&nbsp;Change Management experience is a plus. •&nbsp;&nbsp;&nbsp;&nbsp;Ability to take minimal direction and work independently with high precision/quality of output. •&nbsp;&nbsp;&nbsp;&nbsp;Qualifications and certifications in the technologies we use. •&nbsp;&nbsp;&nbsp;&nbsp;Experience working with teams across multiple countries.&nbsp;Our team makes the difference, every time. For this reason, we offer in return!We offer hybrid working model, explicit, structured career development, a competitive salary package, annual bonus, long term equity incentives, private medical cover, monthly allowance for lunch, generous personal time off, continuous learning experiences, and work in a fun, lively environment with mentoring from our groundbreaking senior mentors.

Senior Data Solution Architect

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)

As a Solution Engineering Data Engineer Specialist for PSSP, you will play a hands-on role in developing and supporting data integration solutions that enable seamless data flow across multiple platforms. You will work with CRM systems (Salesforce, Polaris), omnichannel tools (AWS Connect, NICE), and third-party data sources to support the ingestion and transformation of data into the PSSP data warehouse. Your work will directly support Pfizer’s digital and data-first strategy, driving innovation and operational excellence.What You Will AchieveIn this role, you will:<ul><li>Develop and maintain data enablement processes (ingestion, preprocessing, transformation) for PHI/PII data from platforms such as Polaris CRM, IQVIA, AWS Connect, and Specialty Pharmacy Providers.</li><li>Build and support scalable data pipelines and ETL processes using tools like AWS Glue, Informatica, Snowflake, and Python.</li><li>Support platform operations through hands-on DevOps tasks (CI/CD, monitoring) and vendor coordination.</li><li>Develop and deliver reporting and dashboards for key programs, ensuring timely and accurate insights.</li><li>Collaborate with cross-functional teams to ensure data integrity, quality, and operational efficiency.</li><li>Troubleshoot and resolve data integration issues; conduct root cause analysis and implement corrective actions.</li><li>Create and maintain technical documentation for integrations (DTAs/DIAs), deployment guides, and data flow diagrams.</li><li>Stay current on new features and enhancements in CRM/OCC/third‑party platforms and data tools; recommend improvements.</li><li>This is a hands-on technical role requiring attention to detail and the ability to work across teams to ensure data integrity and operational efficiency.</li></ul>Here Is What You Need (Minimum Requirements)<ul><li>Bachelor’s degree in information management, Computer Science, Engineering, or related field.</li><li>2-4 years of experience in data engineering, data integration, or software development.</li><li>Experience with ETL tooling (e.g., AWS Glue, Informatica) and data warehousing (e.g., Snowflake); proficiency in Python and SQL.</li><li>Familiarity with CRM systems (Salesforce, Polaris) and omnichannel tools (AWS Connect, NICE).</li><li>Strong analytical and problem‑solving skills; ability to communicate technical concepts to non‑technical audiences.</li><li>Proficiency with Microsoft Office tools (Word, PowerPoint, Excel); experience with Jira/Confluence is a plus.</li></ul>Bonus Points If You Have (Preferred Requirements)<ul><li>Experience in pharmaceutical environments and with PHI/PII handling, HIPAA compliance, and secure data transmission.</li><li>Familiarity with Agile methodologies (e.g., Scrum, SAFe) and DevOps practices.</li><li>Experience with AWS services (Glue, S3, Lambda), Snowflake optimization, and dashboarding tools.</li><li>Strong attention to detail and commitment to data quality and documentation standards.</li></ul>&nbsp;&nbsp;

Senior Associate, Solution Engineering Patient Support Services Platform (PSSP) Data Engineer 4949789

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>

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senior data solution architect

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data engineering manager (data & ai)

Accenture

senior associate, solution engineering patient support services platform (pssp) data engineer 4949789

Pfizer Hellas

cloud data engineer in athens or thessaloniki

Accenture

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