London, United Kingdom
Are you passionate about building robust, compliant, and scalable data pipelines that power cutting‑edge clinical and AI solutions? Join us as a Senior Data Engineer and help shape how data fuels innovation across global clinical development, AI/ML productisation and scientific exploration.
Clinical Data, Text and AI
Your New Role
In this role, you will be a technical driver behind the design, development and operation of high‑quality data pipelines and platform components in a validated clinical environment. You will work with Azure, Databricks and modern DevOps/IaC practices to enable secure, governed and high‑performing data products for clinical, AI and exploratory use cases.
Your Key Responsibilities Will Include
* Building and operating robust ETL/ELT pipelines using Azure and Databricks, ensuring reliability, performance and compliance.
* Partnering with Data Scientists and ML Engineers to enable feature‑ready datasets, safe GenAI integration and model‑ready data flows.
* Implementing DevOps and Infrastructure‑as‑Code practices to ensure automated, consistent and validated deployments.
* Ensuring data quality, lineage, governance and GxP compliance across the full development lifecycle.
* Contributing to backend/API enablement and lightweight front‑end integration for data productisation.
Your New Department
You will join the Clinical Data, Text and AI department—an area driving the scalable, compliant and innovative use of data across clinical development. We enable advanced analytics, GenAI solutions, and scientific insights by building the foundational data, platform and engineering capabilities required for modern clinical data science. You will collaborate closely with clinical teams, QA, Privacy/Security, and AI/Advanced Analytics functions across Denmark, the UK and the US.
Your Skills And Qualifications
* Bachelor’s or Master’s in Computer Science, Data Engineering, Information Systems, or related field.
* 4–8 years of experience in data engineering, with strong expertise in Azure, Databricks, PySpark/SparkSQL, Delta Lake and cloud‑native architectures.
* Hands‑on experience with CI/CD pipelines, DevOps practices, Terraform/Pulumi, and secure cloud resource management.
* Knowledge of data quality automation, metadata management, lineage tools and best practices for operating in regulated (GxP) environments.
* Experience collaborating with Data Scientists/ML Engineers and familiarity with MLOps tooling (e.g., MLflow).
* Experience with backend/API development, containerisation and/or front‑end integrations (REST/GraphQL, Python, Docker, React/TypeScript) is considered an advantage.
Working at Novo Nordisk
Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long‑term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you're not just starting a job – you're becoming part of a story that spans generations.
Application Support
We are an equal opportunities employer, and we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. If you're a person with a disability, if you're neurodivergent, and need any adjustments to be made during the application and selection process, please send an email to ebhn@novonordisk.com. Please include your name, the role you are interested in and the type of adjustment you need.
More Information
For further information about the position, please contact Heine Bodekær at hbod@novonordisk.com.
Deadline
10 April 2026 (Applications are reviewed on an ongoing basis).
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