Senior Data Engineer

trawa · Berlin HQ · Presencial · full_time · senior · 2050–2 EUR

Publicada el 2026-08-03

Descripción de la oferta

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.This role follows a hybrid working model. We expect team members to spend around 2-3 days per week in our Berlin office. There are no fixed office days and we don't monitor attendance strictly, but regular in-person collaboration is an important part of how we work. What You'll Do Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWSDefine and evolve data quality standards, observability practices, and operational controls across the platformLead cross-team technical discussions and help align stakeholders on data platform architecture decisionsDeliver large-scale technical initiatives end-to-end, from design through delivery, collaborating with teams across the businessShape the team's technical culture through code reviews, mentorship, knowledge sharing, and documentationEvolve our analytics and BI tooling (ClickHouse, Metabase) to support business intelligence and decision-makingBuild and maintain data pipelines using Python (pandas, polars), dbt, and dltIdentify and address technical debt, improving platform reliability, scalability, and developer experienceCommunicate the value and impact of platform improvements to engineering and business stakeholdersDiagnose and resolve complex data and performance challenges across multiple systems and services Your First 90 Days First 6 Weeks - Getting OrientedBuild context across the data platform, including AWS, dbt, dlt, PostgreSQL, ClickHouse, and Python servicesBegin contributing to production systems and taking ownership of key platform componentsBuild relationships with engineers and stakeholders across the business to understand data needs, priorities, and opportunities for improvementBy Month 3 - Building MomentumTake ownership of significant platform components and drive improvements with growing independenceBegin leading a cross-team initiative with support from your manager and teammates, helping align stakeholders around a clear planIdentify and begin implementing a meaningful improvement to platform reliability, observability, or scalability What You'll Gain Ownership of a production data platform that directly powers trawa's energy trading, invoicing, and analyticsThe opportunity to work closely with engineering and business stakeholders on high-impact initiatives with company-wide visibilityA chance to shape technical culture and contribute to the evolution of engineering practices across the Data Intelligence teamDeep expertise across a modern data stack, including AWS, Python (pandas, polars, FastAPI), dbt, dlt, PostgreSQL, ClickHouse, and MetabaseSupport in growing your technical and leadership skills, with a clear progression framework and meaningful opportunities for advancement What We're Looking ForWe 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.Core Requirements5+ years of experience in data engineering or a related fieldStrong SQL and Python skillsExperience building and operating production data systemsExperience collaborating across teams to deliver technical projects Nice to have Hands-on experience with parts of our stack, including dbt, dlt, ClickHouse, PostgreSQL, Metabase, or AWSExperience with workflow orchestration tools such as AirflowFamiliarity with energy markets, time-series data, or operational data platformsExperience in a technical leadership roleWhat Helps You Succeed HereExperience designing scalable and reliable data systemsEnjoy mentoring and supporting the growth of teammatesComfort navigating ambiguity and helping bring clarity to complex problemsStrong communication and stakeholder-management skills Why Join Us 🌍 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.Find Jobs in Germany on Arbeitnow

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