Data Intelligence Intern

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.

About the Role

We're looking for a Data Intelligence Intern to support the reliability, maintenance, and continuous improvement of our data platforms and operational tooling.

This is a broad, hands-on role. You'll work across real production systems - contributing to data quality, observability, platform health, and operational efficiency - while collaborating with engineers and stakeholders across the business.

The Team

Data Intelligence (DINTEL) is an engineering team that owns trawa's data pipelines, day-ahead trading automation, and analytics infrastructure. We manage the full data lifecycle - from ingesting raw metering and market data, through energy trading automation, to invoicing and self-service analytics.

What You'll Do

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  Maintain and improve monitoring, alerting, and observability for critical data systems

• Develop data quality checks, validation processes, and operational controls

• Support backlog maintenance and cleanup across our ML and data engineering platforms

• Handle ad hoc data and platform requests from internal stakeholders

• Maintain and improve business intelligence and reporting tooling, including Metabase

• Contribute to workflow orchestration improvements - DAG sync, mapping, and scheduling

• Build operational dashboards and reports for business and ops teams

• Support Day 2 Operations: monitoring reviews, alert investigations, and Sentry improvements

• Help retire deprecated repositories, services, and technical debt

• Document processes, system changes, and operational procedures as you go

Your First 90 Days

First 6 weeks - Onboarding

• Get up to speed on the data platform, core pipelines, and team processes

• Contribute to routine maintenance and data quality investigations with guidance

• Start fielding data requests from other teams and business stakeholders

By month 3 - Ramping up

• Actively own Day 2 Operations tasks: alert triage, system monitoring, stakeholder requests

• Identify and implement improvements that reduce technical debt and increase reliability

• Deliver small, well-scoped projects independently - focused on automation, observability, or data quality

What You'll Gain

• Hands-on experience with production data systems that power real business decisions

• Practical exposure to modern data tooling: PostgreSQL, ClickHouse, dbt, DLT, Metabase

• Skills across data engineering, analytics engineering, platform ops, and monitoring

• Direct collaboration with engineers, analysts, and business stakeholders

• Ownership of projects with clear, measurable outcomes from early on

What We're Looking For

Must-have

• Genuine interest in data engineering, analytics engineering, or platform development

• Solid SQL skills and comfort working with data

• Basic Python programming experience

• Strong problem-solving instincts and attention to detail

• Clear communication and willingness to document your work

• Ability to work independently on scoped tasks and ask good questions when needed

Nice to have

• Exposure to PostgreSQL, ClickHouse, dbt, DLT, Metabase, or similar tools

• Familiarity with data pipelines, ETL/ELT concepts, or analytics workflows

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 productivity, wellbeing, learning, and team experiences.