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.
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:
end-to-end ETL ownership
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
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
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
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
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