Senior Data Engineer

POSITION PURPOSE:

• 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. Our mission is to deliver a robust data foundation and FAIR—Findable, Accessible, Interoperable, and Reusable—data assets that improve business decision-making.

YOUR TASKS AND RESPONSIBILITIES:

• 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.
• Establish fine-grained data governance, lineage tracking, and security access controls across environments using Unity Catalog.
• Define and manage Infrastructure as Code using Terraform and Azure DevOps for Databricks workspaces, compute clusters, serverless SQL warehouses, and storage integrations.
• Build and maintain automated CI/CD pipelines using Databricks Asset Bundles, Databricks CLI, GitHub Actions, Azure DevOps, or GitLab.
• Monitor compute consumption and costs, optimize cluster configurations, and implement cluster policies to promote efficient resource utilization.
  
  

WHO YOU ARE:

• At least five years of experience in data engineering, DataOps, DevOps, or a comparable technical role.
• Advanced hands-on experience with Python, PySpark, SQL, Git, and Databricks.
• Strong experience with the Databricks ecosystem, including Delta Lake, Unity Catalog, and Databricks Serverless SQL.
• Proven experience with Infrastructure as Code, preferably Terraform, and CI/CD tooling such as Databricks Asset Bundles, GitHub Actions, Azure DevOps, or GitLab.
• Experience implementing data-quality controls, data contracts, automated testing, monitoring, and incident-management practices.
• Strong knowledge of Azure cloud services, including security, networking, identity and access management, and storage integration. Experience with AWS or GCP is beneficial.

Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here

https://www.bayer.com/enfstrategyfstrategy

Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.

Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. For checking the authenticity of such emails or advertisement you may approach us at HROP_INDIA@BAYER.COM.