Data Engineer

We are looking to onboard one additional Data Engineer to support Central Monitoring Platform (CMP). The primary objective is to increase capacity for business-as-usual operations, while also contributing to smaller initiatives and improvement activities for the remainder of the year. This is not a lead role. The consultant will join an existing setup with experienced Data Engineers and contribute hands-on in a regulated environment. Assignment Overview: The consultant will provide data engineering services supporting CMP delivery and operations, including but not limited to:• Development, maintenance, and operation of data pipelines. • Onboarding of new data, studies, and clinical trials. • BAU support such as incident and ticket handling, root-cause analysis, and operational follow-ups. • Participation in smaller initiatives and scoped projects. • Documentation of pipelines and data flows in line with agreed quality standards. The assignment will be shaped continuously based on priorities. Key Responsibilities: • Provide data engineering services for CMP delivery and operations. • Develop, maintain, and operate data pipelines. • Handle incidents and tickets, conduct root-cause analyses. • Ensure quality standards in documentation. • Contribute to scoped projects and initiatives. Key Requirements: • Strong hands-on experience with PySpark. • Proven experience with Azure and Databricks. • Strong Python and SQL skills (Spark SQL experience is relevant). • Experience building and operating production-grade data pipelines. • Experience from clinical or regulated environments, ideally from GxP-relevant contexts. Nice to Have: • Comfortable working with BAU operational tasks. • Able to work independently while collaborating closely with the team. Start: As soon as possible Duration: Until end of year Allocation: Preferably 100% onsite but flexible with remote work options. Location: Greater Copenhagen Area