Data Engineer | Pharmaceutical Industry

[Remote with 2-3 visits a month in Warsaw, the candidate must be located in Poland]

We’re looking for a Data Engineer to build reliable data pipelines and support data products across a global, regulated pharmaceutical environment.

What you’ll do:

• Design, build and maintain batch and streaming ingestion and transformation pipelines.

• Integrate data from enterprise and laboratory systems, including SAP, LIMS and MES.

• Develop modular, testable transformations using SQL and Python.

• Build layered data models using dimensional and medallion architecture principles.

• Orchestrate workflows and automate deployments through CI/CD.

• Implement data quality, lineage and monitoring controls.

• Optimise pipeline performance, reliability and cost.

• Ensure data pipelines meet GxP, data integrity and audit-trail requirements.

What we’re looking for:

• Previous data engineering experience in the pharmaceutical or biotechnology industry.

• Advanced SQL and Python skills.

• Hands-on experience with Snowflake and ETL/ELT pipeline development.

• Experience with workflow orchestration and tools such as Apache Airflow, dbt or Talend.

• Familiarity with AWS/S3, Git-based version control and CI/CD.

• Strong understanding of data modelling, automated testing and data quality.

• Understanding of GxP environments, ALCOA+ principles and regulated data handling.

• Strong English communication skills.

Experience with Collibra, pharmaceutical R&D data and integrations involving SAP, LIMS or MES would be an advantage.