Advanced Data Engineer

Novo Nordisk A/S; Bengaluru; Remote; INR 1,200,000 - 1,800,000; Full time

Job summary

Novo Nordisk Global Business Services (GBS) in Bengaluru, India seeks an Advanced Data Engineer to design, deploy and run production-grade data pipelines for manufacturing and supply chain, enabling AI-ready datasets for forecasting, optimisation and self-service insights. You will own end-to-end data products and raise engineering standards across a global scope.

You will build scalable data pipelines using Azure, Databricks, SQL, Python and Spark, ensuring data quality, observability and

Qualifications

• Typically 5+ years of experience in data engineering or software engineering with ownership of production-grade data solutions.
• Strong hands-on skills in SQL, Python, Spark, data modelling and distributed data processing.
• Experience with Azure Databricks including notebooks, orchestration, Workflows, Delta Lake and Unity Catalog.
• Experience implementing CI/CD, automated testing and infrastructure as code.
• Knowledge of data quality, observability, metadata, lineage, RBAC and secure engineering practices.
• Able to solve complex engineering problems independently within guardrails.
• Clear communication across product, business and tech teams.
• Bachelor’s degree in computer science, engineering, information technology or a related field, or equivalent relevant experience.

Responsibilities

• 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.

Skills

SQL

Python

Spark

Data modelling

Distributed data processing

Education

Bachelor’s degree in computer science, engineering, information technology or related field

Tools

Azure Databricks

Delta Lake

Unity Catalog

Databricks notebooks

Databricks Jobs & Workflows

CI/CD

Infrastructure as code

Job description

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Department: Manufacturing and Supply Chain Data Engineering, Enterprise AI

Company: Novo Nordisk Global Business Services (GBS)

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.

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