Novo Nordisk

Senior Data Engineer

Novo Nordisk

full-time

Posted on:

Location Type: Office

Location: LondonUnited Kingdom

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About the role

  • 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

Requirements

  • Bachelor's or Master’s degree in Computer Science, Data Engineering or related field
  • Minimum 5+ years of experience in data engineering or related roles
  • Strong proficiency in cloud computing platforms and data/scripting programming languages (e.g., Python, Scala)
  • Hands‑on experience building data pipelines, embedding retrieval/feature stores, and working with orchestration tools, version control and CI/CD
  • Deep expertise in ETL processes, data pipeline architecture, and designing scalable data applications
  • Experience with Agile development methodologies and collaborative, cross-functional project delivery
Benefits
  • Health insurance
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata extractiondata transformationdata ingestiondata managementETL processesdata pipeline architecturecloud computingPythonScala
Soft Skills
collaborationmentoringcommunicationtechnical excellenceproblem-solving
Certifications
Bachelor's degreeMaster’s degree