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.
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.
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.
Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS
Define and evolve data quality standards, observability practices, and operational controls across the platform
Lead cross-team technical discussions and help align stakeholders on data platform architecture decisions
Deliver large-scale technical initiatives end-to-end, from design through delivery, collaborating with teams across the business
Shape the team's technical culture through code reviews, mentorship, knowledge sharing, and documentation
Evolve our analytics and BI tooling (ClickHouse, Metabase) to support business intelligence and decision-making
Build and maintain data pipelines using Python (pandas, polars), dbt, and dlt
Identify and address technical debt, improving platform reliability, scalability, and developer experience
Communicate the value and impact of platform improvements to engineering and business stakeholders
Diagnose and resolve complex data and performance challenges across multiple systems and services
Build context across the data platform, including AWS, dbt, dlt, PostgreSQL, ClickHouse, and Python services
Begin contributing to production systems and taking ownership of key platform components
Build relationships with engineers and stakeholders across the business to understand data needs, priorities, and opportunities for improvement
Take ownership of significant platform components and drive improvements with growing independence
Begin leading a cross-team initiative with support from your manager and teammates, helping align stakeholders around a clear plan
Identify and begin implementing a meaningful improvement to platform reliability, observability, or scalability
Ownership of a production data platform that directly powers trawa's energy trading, invoicing, and analytics
The opportunity to work closely with engineering and business stakeholders on high-impact initiatives with company-wide visibility
A chance to shape technical culture and contribute to the evolution of engineering practices across the Data Intelligence team
Deep expertise across a modern data stack, including AWS, Python (pandas, polars, FastAPI), dbt, dlt, PostgreSQL, ClickHouse, and Metabase
Support in growing your technical and leadership skills, with a clear progression framework and meaningful opportunities for advancement
We know that great candidates don't always match every requirement. If you're excited about the role and believe you can contribute to our mission, we'd love to hear from you, even if your experience doesn't perfectly align with every qualification listed.
5+ years of experience in data engineering or a related field
Strong SQL and Python skills
Experience building and operating production data systems
Experience collaborating across teams to deliver technical projects
Hands-on experience with parts of our stack, including dbt, dlt, ClickHouse, PostgreSQL, Metabase, or AWS
Experience with workflow orchestration tools such as Airflow
Familiarity with energy markets, time-series data, or operational data platforms
Experience in a technical leadership role
Experience designing scalable and reliable data systems
Enjoy mentoring and supporting the growth of teammates
Comfort navigating ambiguity and helping bring clarity to complex problems
Strong communication and stakeholder-management skills
Real impact - Join one of Europe's fastest-growing B2B energy platforms at a pivotal moment. Your work will directly support systems that help industrial companies cut costs and go green.
Early ownership - We give team members responsibility from day one. You won't be shadowing - you'll be shipping.
Mentorship that matters - Regular leadership sessions, cross-functional exposure, and engineers who are genuinely invested in your growth.
Learning culture - Annual learning budget, dedicated development time, and a team that takes knowledge-sharing seriously.
Inclusive by design - 15+ nationalities, family-friendly policies, and a genuine commitment to building a place where everyone can do their best work.
Solid benefits - A competitive package covering wellbeing, learning, and team experiences.
