Engineering Manager - Data Platform (m/f/d)

Free resume; Deutschland; Remote; EUR 72,000 - 126,000; Full time

Job summary

AutoScout24 is seeking an Engineering Manager for the Data Platform to lead a team responsible for evolving and operating an AWS-based platform that enables data-driven work across the company.

You will guide architecture decisions, ensure reliability and cost optimization, and drive AI integration into daily engineering workflows, including data discovery, governance, and user-facing tools.

Qualifications

• 5+ years of experience leading engineering teams.
• Strong software or data engineering background with hands-on involvement.
• Experience with AI development tools like Claude Code, Codex, Cursor.
• Proven ability to integrate AI into engineering workflows across SDLC.

Responsibilities

• Build and lead a team that owns and delivers the data platform.
• Evolve AWS-based data platform architecture for reliability, performance, security and cost.
• Collaborate with engineers on complex problems and contribute technically when needed.
• Enhance self-service data pipelines, dataset discovery, access management, and data quality monitoring.
• Drive Data Mesh governance, data contracts, and federated governance across domains.
• Improve data quality, lineage, and observability via automation and controls.
• Work with Product, Analytics Engineering, Data Governance, and stakeholders to deliver solutions.
• Integrate AI into engineering tools and workflows to streamline pipelines and development.

Skills

Engineering leadership

AWS / cloud data platform

AI tools integration

Data governance & observability

Team growth & coaching

Tools

Claude Code

Codex

Cursor

Job description

Engineering Manager - Data Platform (m/f/d)

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-on technical experience and the ability to contribute to complex engineering decisions.
• Extensive hands-on experience with AI development tools such as Claude Code, Codex, Cursor, or similar. You use these tools extensively in your own engineering work and understand how to use them effectively beyond basic code generation.
• Proven experience integrating AI into engineering workflows across the SDLC , ideally for Data Engineering or Analytics Engineering teams. You've implemented solutions that engineers actually use in their daily work and can explain how they improved efficiency.

Remote full-time en 100,000–140,000 USD/yr

Remote full-time en 80,000–100,000 USD/yr