Data Engineer
Posted 15 Jun 2026
Advertised as “Senior Data Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Senior Data Engineer
About trawa
European energy costs are twice as high as in the United States and China. Electricity demand is expected to double by 2050. Market price volatility and complexity are here to stay - and the backbone of Europe's industrial economy is at risk.
At trawa, we're building the solution: an integrated B2B energy platform combining procurement, energy management, and flexibility steering in a single product. That integration unlocks up to 30% in recurring electricity cost savings while helping companies make the switch to renewables.
We're a Berlin-based scale-up of around 100 people. We've raised over €35M to date - including a €24M Series A in May 2025 - backed by Balderton, Headline, Speedinvest, AENU, Magnetic, and Tiny VC. All three founders are fully committed to building the utility of the future.
The Team
Data Intelligence (DINTEL) is an engineering team that owns trawa's data pipelines, and analytics infrastructure. We manage the full data lifecycle - from ingesting raw metering and market data, to invoicing and self-service analytics.
About the Role
We're looking for a Senior Data Engineer to own and lead the development, reliability, and continuous evolution of our data platform. This is a high-ownership, high-autonomy role. You'll work across production systems at scale - defining technical direction, coordinating cross-team dependencies, and driving measurable impact across data engineering, analytics infrastructure, and operational tooling.
You'll mentor teammates and be supported by experienced engineering leaders as you continue to grow your own leadership and technical skills.
At trawa, our culture is generally "office-first with flexibility", where most of us are in our beautiful Berlin office the majority of the week, with room to occasionally work from home when needed. The Tech team follows a more hybrid rhythm, spending around 2-3 days a week in the office. We don’t set fixed office days or track attendance strictly, but teams coordinate what works best for them, because regular in-person collaboration remains an important part of how we work.
What You'll Do
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Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS
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Define and evolve data quality standards, observability practices, and operational controls across the platform