Senior Data Engineer

Data Ingestion
London, UK

Ready to build scalable data platforms and ML pipelines that enable analytics, AI and research across R&D? Bring engineering excellence to data that drives discovery and impact – and help us defeat serious chronic diseases.

As a Senior Data Engineer in our Data Ingestion team, you'll be at the heart of Novo Nordisk's data-driven transformation. You'll design and build the scalable infrastructure that enables scientists, researchers, and AI specialists to unlock insights that defeat serious chronic diseases.

You will:

• Design and develop scalable data solutions by building robust applications and pipelines for data extraction, transformation, ingestion, and management that support analytics, reporting, and operational use cases
• Ensure high-quality and optimised data engineering processes by applying best practices, conducting testing and validation, and delivering solutions that meet reliability, scalability, and performance standards
• Provision data for analytics, AI, and ML by preparing, managing, and delivering high- quality datasets for traditional reporting, advanced analytics, AI/ML development, and broader business needs
• Collaborate with stakeholders across the organisation to understand business requirements, translate them into technical solutions, and deliver data products that support strategic and operational goals
• Drive technical excellence within the Data & ML Engineering area by representing the cluster in cross-functional settings, mentoring junior colleagues, and continuously improving engineering methods, techniques, and approaches

You will join the Data Ingestion team within the AI and Digital Innovation organisation, partnering closely with Data Science, AI & Analytics and data‑producing departments across R&D. Together we scale data infrastructure and pipelines that underpin analytics, ML modelling and research.

To succeed in this role, you should:

• Hold a Bachelor’s or Master’s degree in Computer Science, Data Engineering or a related field
• Have a minimum 5+ years of experience in data engineering or related roles, with demonstrated expertise in building and maintaining production-grade data pipelines
• Have a Strong proficiency in cloud computing platforms and data/scripting programming languages (e.g., Python, Scala)
• Have hands‑on experience building data pipelines, embedding retrieval/feature stores, and working with orchestration tools, version control and CI/CD
• Have a deep expertise in ETL processes, data pipeline architecture, and designing scalable data applications
• Have experience with Agile development methodologies and collaborative, cross-functional project delivery

As a person, you are a proactive problem‑solver who works independently on most technical challenges while knowing when to involve others on complex issues. You communicate clearly and confidently, ensuring that technical topics are understood by both engineering and business stakeholders. You take an active role in team development — supporting colleagues, sharing knowledge, and continuously seeking opportunities to improve ways of working and enhance the team’s overall impact.

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. Here, you'll work with the latest AI tools and cloud technologies while being part of a transformation journey that's reshaping healthcare.

You'll find a culture where experimentation is encouraged, diverse thinking is valued, and your technical expertise directly contributes to therapies that will change millions of lives.

There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind.