Senior Data Engineer

Bayer AG; Bengaluru; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Bayer AG in Bengaluru is seeking an experienced Data Engineer to design and operate scalable data pipelines and DataOps practices. You will implement automated ETL/ELT processes using Python, PySpark, Delta Lake, and Databricks, while enforcing data contracts and quality checks.

You will also manage IaC with Terraform and CI/CD pipelines via Azure DevOps, GitHub Actions, or GitLab, and optimize cloud resources in Azure and related platforms.

Qualifications

• Minimum 5 years in data engineering, DataOps, or DevOps.
• Strong hands-on with Python, PySpark, SQL, Git, and Databricks.
• Experience with Delta Lake, Unity Catalog, and Databricks Serverless SQL.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop idempotent ETL/ELT pipelines using Python, PySpark, Delta Lake.
• Drive automation across deployments, monitoring, and incident remediation.
• Implement DataOps with data contracts, data quality checks, and testing.
• Establish data governance, lineage tracking, and access controls.
• Define infrastructure as code using Terraform and Azure DevOps.
• Build and maintain CI/CD pipelines with Databricks Asset Bundles, GitHub Actions, or GitLab.
• Monitor compute usage and optimize cluster configurations.

Tools

Python

PySpark

SQL

Git

Databricks

Delta Lake

Unity Catalog

Terraform

CI/CD tools

GitHub Actions

Azure DevOps

GitLab

Job description

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, andMERGE INTOpatterns.
• 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

YOUR APPLICATION

Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination.