
Data Engineer (m/f/d)
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.
Your key responsibilities
- 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 tooling 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 sound data practices into service design and operations
- Contribute to the technical roadmap for the AutoProff Data Platform together with platform leadership
- Proficiency in Python and SQL for building, testing and maintaining data pipelines and transformations
- Experience working with orchestration and pipeline frameworks such as Airflow (or similar tooling)
- Solid knowledge and practical understanding of AWS services and best practices (e.g. S3, Lambda, Step Functions, Athena, Kinesis, Redshift)
- Strong understanding of data governance, security and privacy requirements (e.g. GDPR, access controls)
- Comfortable working with event-driven architectures and structured data across microservices
- Familiarity with infrastructure-as-code (CDK or Terraform) and CI/CD practices
- Ability to collaborate across teams and clearly explain complex data flows and architectural decisions
- Experience implementing data mesh or decentralised data platform architectures
- Familiarity with BI tools and embedded dashboards (e.g. QuickSight, icCube, Qlik)
- Practical experience working with dbt/sqlmesh or similar analytics framework
- Hands-on experience with data observability, lineage and quality monitoring (e.g. DataHub or Great Expectations)
- Experience with real-time data setups (e.g. Snowplow, TimescaleDB)
About AutoProff
AutoProff was founded in 2013 by the experienced car dealer Jesper Ratza in Denmark. The aim was to digitalize B2B used car trading, helping car dealers increase sales and improve profits.
In August 2022, AutoScout24, the leading specialized pan-European online car marketplace, acquired a majority stake in AutoProff. The partnership has supported the rapid expansion of AutoProff's solutions across Europe and enables the creation of Europe's first fully integrated C2B-B2B-B2C dealing solution for used cars.
At AutoProff, we specialize in providing online B2B used-car dealing solutions designed to improve the buying and selling experience for professional car dealers and their customers.
We are the emerging European leader with more than 150,000 B2B used cars on our online trading platforms annually.
With a focus on effective solutions, digitization and customer service, we are committed to being the home of B2B car dealing for European car dealers.
We’re eager to hear from you. If this sounds like a great match and sparks your interest, don’t wait, apply today!
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