Join AutoProff – Build the Data Foundations of European Automotive Tech!
We’re looking for a Data Engineer to join our growing Empower platform team, based out of our Vejle headquarters or Copenhagen office.
At AutoProff, data is at the heart of how we grow and operate. As part of the Empower team, you’ll help build and evolve the core data platform that powers everything from operational insights to customer-facing analytics. You’ll work closely with platform engineers, analysts, and product teams to enable a modern, self-service, scalable data ecosystem.
We are transitioning from legacy BI systems to a modern, distributed data platform. This role is key to shaping the architecture, pipelines, and tooling that enable trusted, observable, and compliant data flows across the company. You’ll play a crucial role in ensuring that domain teams can produce, access, and act on data efficiently and securely, without relying on central bottlenecks.

THE NEED-TO-HAVE SKILLS

• Proficiency in Python and SQL as essential programming skills for building, testing, and maintaining data pipelines and transformations.
• Solid engineering experience with data pipeline tools (e.g., AWS Glue, Airflow, AWS Step Functions, AWS Lambda).
• Proficiency in AWS data services (Athena, S3, Kinesis/Streams, Redshift, etc.).
• Strong understanding of data governance, security, and privacy (e.g., GDPR, access controls).
• Comfortable working with event-driven architectures and structured data across microservices.
• Familiar with infrastructure-as-code (CDK or Terraform) and CI/CD practices.
• Ability to collaborate across teams and explain complex data flows clearly.

THE NICE-TO-HAVE SKILLS

• Experience implementing data mesh or decentralized data platform architecture.
• Familiarity with BI tools and embedded dashboards (e.g., QuickSight, icCube, Qlik).
• Hands-on experience with data observability, lineage, and quality monitoring (e.g DataHub or GreatExpectations).
• Some level of knowhow with real-time data setups (e.g. Snowplow, TimescaleDB)
  We’re eager to hear from you! If this sounds like a great match and sparks your interest, don’t wait, apply today!

• Design, build, and maintain data pipelines, orchestrations, and event-based data flows.
• Support the migration to a data mesh model with embedded domain ownership.
• Develop and maintain platform-level tools for monitoring, governance, and self-service access.
• Collaborate with analytics, BI, and product teams to ensure data is reliable, reusable, and observable.
• Partner with engineering teams to embed data practices into their service design and operations.
• Contribute to the technical roadmap for AutoProff Data Platform alongside platform leadership.