At AutoScout24, our Data Platform Engineering team builds and operates the AWS-based platform that enables teams across the company to work with data independently. Built around Data Mesh principles, it provides the infrastructure, self-service tooling, and governance that allow domain teams to own and manage their data products.

As Engineering Manager, you'll lead the team responsible for developing and operating this platform. The role combines people leadership with strong technical involvement, from architecture and complex engineering problems to reliability, performance, and cost optimization.
We're also making AI a native part of how our Data Engineering organization works and how people use our platform. This includes bringing AI directly into the daily workflows of Data Engineers and Analytics Engineers, as well as making the platform more intelligent, easier to use, and more accessible to business users.

What you'll do

Build a team that takes ownership, makes sound technical decisions, and delivers independently.
Evolve our AWS-based data platform, making decisions around architecture, reliability, performance, security, and cost.
Work alongside engineers on complex technical problems, including hands-on implementation when needed.
Develop and improve self-service capabilities for data pipelines, dataset discovery, access management, and data quality monitoring.
Strengthen our Data Mesh implementation, including domain ownership, data contracts, access controls, and federated governance.
Improve data quality, lineage, and observability through automation and platform-level controls.
Work closely with Product, Analytics Engineering, Data Governance, and business stakeholders to understand problems and develop solutions.
Integrate AI into existing engineering tools and workflows across Data Engineering and Analytics Engineering, improving how teams develop pipelines, build data models, test changes, review code, and troubleshoot failures.
Build AI capabilities directly into the data platform, helping users discover and understand datasets, work with data using natural language, investigate issues, and complete tasks that previously required technical knowledge or manual steps.

What we're looking for

5+ years of experience as an Engineering Manager, with a strong track record of hiring, coaching, and developing engineering teams.
Strong software or data engineering background, with recent hands-o