Senior Data Engineer in Data Ingestion team at Novo Nordisk, designing scalable data solutions for analytics, AI, and research. Building robust applications and pipelines to support operational use cases.
Responsibilities
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
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