LEAD DATA ENGINEER
Remote | Europe (Berlin-based team)
About the Company
Our client is a Berlin-based, remote-first technology company building advanced market intelligence and software solutions for the automotive industry.
With an established product and a strong technical team, the company operates in a stable growth phase, continuously improving its data platform to deliver highly reliable insights to customers.
You’ll join an experienced, international team where data quality, system reliability, and thoughtful engineering decisions are core to the product.
ROLE OVERVIEW
Our client is looking for a Lead Data Engineer who is comfortable taking full ownership of data systems — from architecture decisions to data quality and stakeholder-facing insights.
This is not just a pipeline-building role. It combines:
- data quality and reliability at scale
- analytical thinking and business impact
You will play a key role in shaping how data is collected, processed, validated, and delivered — ensuring that both internal teams and customers can rely on it.
This role is well-suited for someone who:
- thinks in systems and trade-offs, not just tools
- has experience with production-grade pipelines and real-world data issues
- can balance engineering quality with business needs
- is comfortable stepping into ownership and driving improvements
YOUR RESPONSIBILITIES
- Design, build, and maintain scalable, production-grade ETL pipelines
- Own and continuously improve data quality frameworks, validation rules, and monitoring
- Ensure reliability of data pipelines (handling failures, inconsistencies, late data)
- Deliver clear, actionable insights for both technical and non-technical stakeholders
- Build and maintain dashboards, reporting systems, and alerting mechanisms
- Investigate and resolve data issues with a focus on root cause and long-term stability
- Evaluate and improve the data architecture and technology stack
- Contribute to code quality, standards, and best practices within the team
- Support DevOps-related processes where needed
- Align technical solutions with product goals and customer needs
YOUR PROFILE
Must-Have Skills
- 4+ years of experience in Data Engineering, including ownership of production systems
- Strong experience building and maintaining reliable ETL pipelines in production
- Advanced knowledge of SQL and data modeling principles
- Experience with modern ETL and orchestration tools
- Strong programming skills (Python or similar)
- Solid understanding of data quality, validation, and monitoring
- Experience working with large, imperfect datasets and real-world constraints
What We Value in This Role
- Ability to make architectural decisions and explain trade-offs clearly
- Strong sense of ownership and accountability for data systems
- Pragmatic mindset — knowing when to optimize vs. keep things simple
- Experience improving or scaling existing data platforms
- Confidence working across teams and translating data into business impact
- Clear communication and structured thinking
Nice to Have
- Experience with DevOps, Docker, and Linux
- Familiarity with Agile environments and cross-functional collaboration
- Experience in automotive or mobility-related domains
WHAT OUR CLIENT OFFERS
- Ownership: Real responsibility over data architecture and quality
- Impact: Direct influence on product, customers, and business decisions
- Flexibility: Remote-first setup with flexible working conditions
- Stability: Established product and a strong, experienced team
- Growth: Long-term development and learning opportunities
- Team: Collaborative, international environment with high engineering standards