Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop critical data pipelines on AWS, mentor colleagues, and drive technical initiatives to optimize the data platform for energy trading and analytics.
Job Technologies
Your role in the team
- 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 will mentor others, elevate engineering standards, and operate confidently in high ambiguity - framing problems, aligning teams, and driving convergence.
- Own and lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS.
- Define and enforce data quality standards, observability practices, and operational controls across the platform.
- Lead cross-team technical discussions and align stakeholders on data platform architecture decisions.
- Führen Sie groß angelegte technische Initiativen von Anfang bis Ende durch - von der Konzeption bis zur Umsetzung - und koordinieren Sie Abhängigkeiten zwischen Teams.
- Shape the team's technical culture through code reviews, mentorship, and documentation.
- Own and evolve our analytics and BI tooling (ClickHouse, Metabase) to serve business intelligence needs.
- Build and maintain data pipelines using Python (pandas, polars), dbt, and dlt.
- Identify and address technical debt strategically, improving platform reliability and developer experience.
- Track and communicate the value and impact of platform improvements to engineering and business stakeholders.
- Diagnose and resolve complex, cross-service data and performance issues.
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Our expectations of you
Qualifications
- Expert SQL and strong Python skills (pandas, polars, or similar).
- Proven ability to lead cross-team technical projects and align stakeholders.
- Strong system design instincts - you reason clearly about trade-offs and communicate decisions well.
- Comfortable operating in high ambiguity: you frame problems, define options, and drive convergence.
- Track record of mentoring others and raising the technical bar.
- Vertrautheit mit Energiemärkten, Zeitreihendaten oder operativen Datenplattformen.
Experience
- 5+ years of experience in data engineering or a closely related discipline.
- Experience owning and operating production data pipelines at scale.
- Hands-on experience with our stack: dbt, dlt, ClickHouse, PostgreSQL, Metabase, AWS.
- Experience with workflow orchestration (e.g., Airflow).
- Prior experience as a technical lead or staff engineer.
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What we offer
- Ownership of a production data platform that directly powers trawa's energy trading, invoicing, and analytics.
- Cross-functional influence: work closely with engineering and business stakeholders on high-impact initiatives.
- The opportunity to shape technical culture and raise engineering standards across the Data Intelligence team.
- Deep expertise across the modern data stack: AWS, Python (pandas, polars, FastAPI), dbt, dlt, PostgreSQL, ClickHouse, Metabase.
- A leadership track with clear L3 expectations and meaningful room to grow.
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Topics that you deal with on the job
Job Locations
This is your employer
trawa
trawa is a Berlin-based energy partner that provides companies with a digital platform for electricity procurement, consumption management, and battery storage solutions. Through AI-driven analyses, trawa helps reduce energy costs and promotes access to renewable energy, especially for small and medium-sized enterprises. Since its founding in 2022, trawa has focused on optimizing energy costs.
Description
- Company Type
- Startup
- Working Model
- Onsite
- Industry
- Power Sector, Economy
Senior Data Engineer
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
