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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 where 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 others, raise engineering standards, and operate confidently in high ambiguity.

Responsibilities

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
Drive large-scale technical initiatives end-to-end, coordinating dependencies across 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

Requirements

5+ years of experience in data engineering or a closely related discipline
Expert SQL and strong Python skills (pandas, polars, or similar)
Experience owning and operating production data pipelines at scale
Proven ability to lead cross-team technical projects and align stakeholders
Strong system design instincts
Comfortable operating in high ambiguity
Track record of mentoring others and raising the technical bar
Hands-on experience with dbt, dlt, ClickHouse, PostgreSQL, Metabase, AWS
Experience with workflow orchestration (e.g. Airflow)
Familiarity with energy markets, time-series data, or operational data platforms
Prior experience as a technical lead or staff engineer

Skills

SQL
Python
pandas
polars
dbt
dlt
ClickHouse
Metabase
AWS
Airflow

Location

Berlin

Work Type

Full-time

Experience Level

Senior
5+ years

Benefits

Competitive package covering wellbeing, learning, and team experiences
Annual learning budget
Dedicated development time
Family-friendly policies

About the Company

European energy costs are twice as high as in the United States and China, with electricity demand expected to double by 2050. Market price volatility and complexity are persistent challenges.
trawa is building an integrated B2B energy platform combining procurement, energy management, and flexibility steering in a single product to unlock recurring electricity cost savings and facilitate the switch to renewables.
We're a Berlin-based scale-up of around 100 people with over €35M raised to date, backed by prominent investors.
The Data Intelligence (DINTEL) team owns trawa's data pipelines and analytics infrastructure, managing the full data lifecycle from ingestion to analytics.

Equal Opportunity

15+ nationalities, family-friendly policies, and a genuine commitment to building a place where everyone can do their best work.