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