Senior Data Engineer

About the role

The Data & Analytics organization enables Bayer’s Corporate Functions—including Finance, Supply Chain & Logistics, HR, Procurement, Legal, and Sustainability—to become more insight and data-driven.

What you'll do

• Design, build, and maintain scalable, reliable, and cost-efficient data pipeline architectures
• Develop idempotent, automated ETL/ELT pipelines using Python, PySpark, Delta Lake, and MERGE INTO patterns
• Drive automation across deployments, monitoring, incident remediation, and operational processes to improve efficiency, quality, and reliability
• Implement robust DataOps practices, including data-contract enforcement, automated data-quality checks, and unit and integration testing

What you need

• 6–10 years in data science & ai
• Python
• ETL
• Spark
• Data analysis
• Any graduate