Data Engineer

Our client is a Scandinavian company from the pharmaceutical sector, currently expanding its IT department in Warsaw. The organization is known for its innovative approach and strong commitment to excellence.

• Strong SQL/T-SQL skills and solid understanding of relational data structures.
• Hands-on experience with Azure cloud services (e.g., Azure Data Factory, Azure Storage, Azure SQL/SQL MI, Azure Functions, Azure DevOps).
• Experience with data engineering frameworks and tools, ideally including Databricks / PySpark (strong advantage).
• Good programming skills in Python or similar languages used for cloud-based data pipelines.
• Experience with modern ETL/ELT processes, orchestration patterns, and API-based integrations.
• Familiarity with DevOps practices, version control (Git), and CI/CD pipelines in cloud environments.
• Understanding of data governance, security, and compliance standards (e.g., GDPR, GxP).
• Analytical mindset with strong problem solving skills and attention to detail.
• Ability to work independently and collaboratively in cross functional, international teams.
• Good communication skills to translate technical topics to non technical stakeholders.

Nice to have:

• Knowledge of SSIS, C#, VBA - helpful for understanding and maintaining legacy solutions during migration

Optional:

• Competence or experience in building machine learning models

• Participate in the design and development of a new cloud-based data platform in Azure.
• Build and maintain modern data pipelines using Azure native services and Databricks (where relevant).
• Support and optimize the existing legacy Data Platform (SQL Server based) during the transition period.
• Handle incidents and operational issues across both legacy and cloud environments.
• Optimize daily operations and ensure high reliability of data flows.
• Participate in planning and implementing changes to existing solutions as part of the migration strategy.
• Participate in delivery of new projects on the new platform as well as enhancements to current applications.
• Collaborate closely with Business stakeholders to discuss requirements and propose improvements.
• Suggest enhancements to existing processes and data flows, ensuring compliance with GxP.
• Document all development work in alignment with GxP/GAMP5 and internal quality standards.