Senior Data Engineer - Hybrid: Build Clinical Data Pipelines

Bayer AG; Województwo mazowieckie; Hybrid; PLN 206,000 - 246,000; Full time

Benefits offered by this job

Medical care

Flexible benefits

Pension plans

Home office allowance

Company car

Job summary

Bayer AG in Poland is seeking a Senior Data Engineer to join the Data & AI Team. You will design, implement and operate robust data pipelines for clinical studies in our Data Lakehouse, partnering with business and IT to ensure timely, high‑quality data delivery for scientists and AI agents.

The role emphasizes collaboration in an agile environment, adherence to data governance, and scalable architecture. A strong background in Databricks, Python (PySpark), and cloud tooling, plus experience

Qualifications

• Bachelor's degree required.
• 5+ years in data engineering or similar roles.
• Experience delivering production data pipelines.
• Strong documentation and data governance mindset.

Responsibilities

• Lead development and operation of reliable data pipelines for clinical data.
• Collaborate with stakeholders in an agile setup to specify data requirements.
• Maintain a coherent, scalable data landscape and enforce best practices.
• Contribute to integration patterns and secure data access for humans, systems, and AI agents.
• Collaborate with infrastructure teams to ensure robust, secure architecture.
• Mentor colleagues and uphold high standards in engineering practices and testing.

Skills

Databricks

Python (PySpark)

Git & CI/CD

Data security

Analytical thinking

Communication

Team collaboration

Education

Bachelor's degree in computer science, data science, information technology, or a related field

Tools

Databricks

Terraform

GitHub Actions

REST/GraphQL

Job description

Bayer AG in Poland is seeking a Senior Data Engineer to join the Data & AI Team. You will design, implement and operate robust data pipelines for clinical studies in our Data Lakehouse, partnering with business and IT to ensure timely, high‑quality data delivery for scientists and AI agents.

The role emphasizes collaboration in an agile environment, adherence to data governance, and scalable architecture. A strong background in Databricks, Python (PySpark), and cloud tooling, plus experience