Data Engineer

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.

Let's Dive Into Your Key Responsibilities, You Will

• 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.

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

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.