Advanced Data Engineer

Novo Nordisk; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Novo Nordisk Global Business Services in Bengaluru is seeking an Advanced Data Engineer to build production-grade data pipelines and data products for manufacturing and supply chain AI initiatives. You will design, deploy and run end-to-end data solutions, enabling AI-ready datasets for forecasting, optimization and self‑service insights.

You will own pipelines, collaborate with cross-functional teams, and implement data quality, observability, and secure engineering practices while optimizing

Qualifications

• Typically 5+ years of experience in data engineering or software engineering with ownership of production-grade data solutions.
• Hands-on SQL, Python, Spark and data modelling in distributed environments.
• Experience with Azure Databricks, notebooks, orchestration and Delta Lake.
• Experience implementing CI/CD, automated testing and infrastructure as code.
• Understanding of data quality, observability, metadata, lineage and access controls.

Responsibilities

• Own data pipelines and products from design to day-to-day operation.
• Design, build, test, deploy and support scalable data pipelines and data models using Azure, Databricks, SQL and Python.
• Build and maintain Databricks solutions with notebooks, Jobs, Delta Lake and Unity Catalog.
• Translate requirements into technical solutions, contribute to estimation, design reviews and delivery planning.
• Implement data quality rules, tests, and monitoring; apply CI/CD for secure changes.
• Optimise Spark workloads, storage and compute for performance and cost; ensure security and governance.
• Investigate incidents, identify root causes and implement preventive improvements.
• Contribute reusable components and mentor others via code reviews.

Skills

SQL

Python

Spark

Data modelling

Distributed data processing

CI/CD

Automated testing

Infrastructure as code

Data quality

Observability

Metadata

Lineage

RBAC

Secure engineering practices

Communication

Education

Bachelor's degree in computer science, engineering, information technology or a related field, or equivalent relevant experience

Tools

Azure Databricks

Delta Lake

Unity Catalog

Notebooks

Workflows

Job description

Department: Manufacturing and Supply Chain Data Engineering, Enterprise AI

Company: Novo Nordisk Global Business Services (GBS)

Bengaluru, India

Your impact begins here

As Advanced Data Engineer, you will build the data foundations that let Novo's manufacturing and supply chain teams put AI to work. You will design, deploy and run production-grade data pipelines and products end to end, turning complex data into AI-ready datasets for forecasting, optimisation, automation and self-service insight. Your work gives the business data it can trust and use today, so teams can make faster, better-informed decisions across a global scope.

What You'll Bring

• Typically 5+ years of experience in data engineering or software engineering, with proven ownership of production-grade data solutions.
• Strong hands-on skills in SQL, Python, Spark, data modelling and distributed data processing.
• Practical experience with Azure Databricks, including notebooks, orchestration, Workflows, Delta Lake and Unity Catalog.
• Experience implementing CI/CD, automated testing and infrastructure as code.
• Working knowledge of data quality, observability, metadata, lineage, role-based access controls and secure engineering practices.
• The ability to solve complex engineering problems independently, within defined architecture and platform guardrails.
• Clear communication skills and the ability to work across product, business and technology teams.
• A Bachelor's degree in computer science, engineering, information technology or a related field, or equivalent relevant experience.

Useful, But Not Essential

• Experience in supply chain systems, such as planning, logistics or warehousing.
• Cloud or Databricks certifications.

What You'll Do

You will own data pipelines and products from design to day-to-day operation, and raise the engineering standard around you while you do it.

• Design, build, test, deploy and support scalable data pipelines, data models and integration flows using Azure, Databricks, GitHub, SQL, Python and Spark.
• Build and maintain Databricks solutions with notebooks, Jobs and Workflows, Delta Lake, Delta Live Tables or Lakeflow Declarative Pipelines, and Unity Catalog.
• Translate product and business requirements into maintainable technical solutions, contributing to estimation, design reviews and delivery planning.
• Build data quality rules, automated tests, lineage, monitoring and alerts into the development lifecycle, and use infrastructure as code and CI/CD for repeatable, secure and controlled changes.
• Optimise Spark workloads, storage, orchestration and compute for performance, reliability and cost, and apply enterprise security, privacy, governance and compliance requirements, including GxP controls where relevant.
• Investigate incidents and recurring defects, find the root cause and put preventive improvements in place.
• Contribute reusable components, standards and documentation, and support less-experienced engineers through code reviews and knowledge sharing.

Who You'll Work With

You will join the Manufacturing and Supply Chain Data Engineering team within Enterprise AI at Novo, working with a global scope. You will collaborate closely with Manufacturing and Supply Chain Lines of Business, AI Foundation, Enterprise Platform teams and other IT colleagues to deliver scalable, production-grade, AI-ready data platforms that the business can trust and use.

What You Can Expect Here

You will be trusted to own your work and supported to perform at your best. You will grow through hands-on work on production-grade data platforms, learning from experienced colleagues and sharing what you know through code reviews and reusable patterns. Your voice counts: you will help shape engineering standards and the direction of AI-ready data across manufacturing and supply chain.

Start now

Your impact begins today.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.