trawa

Engineering Manager - Data Intelligence

Berlin HQ, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

Engineering Manager - Data Intelligence
 
 
About trawa
 
European energy costs are 2x compared to US and China. Electricity demand is expected to double by 2050. Market price volatility & complexity are here to stay. The backbone of Europe's industrial economy is at risk and companies need to act now.
trawa is building the solution: the first integrated B2B energy platform that orchestrates procurement, energy management, and flexibility steering in one product. Supply, Manage, and Flex combined. That integration unlocks up to 30% in recurring electricity cost savings, all while helping companies switch to renewable energy.
We're the fastest-growing B2B energy platform in Europe. Active in Germany and Austria now, and expanding operations to a third market in 2027. We're on the road to European scale and move fast, the market window is open and we intend to own it.
trawa is a scale-up based in Berlin with ~100 FTE, ~30 of whom work in Product & Tech. 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 on board and 100% committed to build the utility of the future
 
 
 
About the Role
 
Data is the heartbeat of trawa. It is the foundation and lifeblood of our product, the core that unlocks the power of the energy markets for our customers, turning a complex challenge into a source of savings and sustainability.
We are looking for an Engineering Manager to lead our Data Intelligence team. This high-impact team builds and operates the utility backbone of our energy platform, combining expertise in data platforms, data engineering, and business intelligence. You will own the technical direction for these critical systems, which include everything from metering data management to our invoicing and billing services.
You'll shape a team culture grounded in trust, collaboration, and continuous learning, creating an environment where engineers thrive and do their best work. Reporting to the Director of Engineering, you will lead an established and growing group of talented engineers.
At trawa, our culture is generally "office-first with flexibility", where most of us are in our beautiful Berlin office the majority of the week, with room to occasionally work from home when needed. The Tech team follows a more hybrid rhythm, spending minimum 3 days a week in the office.
 
 
What You'll Do
 
You'll drive the evolution of these areas:
Own the roadmap for our central data warehouse and the data platform that our products are built on

Build a scalable data backend for the key processes of an energy provider including timeseries data management, invoicing and billing services.

Lead the design and operation of critical data pipelines, data quality standards, observability practices and platform infrastructure on AWS

Our tech stack
Postgres, ClickHouse, Metabase, DBT

Python (pandas, polars)

AWS, Terraform, Docker, GitHub Actions

 
 
 
Your First 90 Days
 
After 6 Weeks (Onboarding):
Establish strong relationships with your direct reports, peers and stakeholders

Understand the team’s current OKRs and how they impact the organisation

Gain a comprehensive understanding of the current data architecture, including core databases, pipelines, and key data sources

Month 3 (Ramp-Up):
Conduct a review of the team's operational health and technical debt, presenting a prioritized plan for improvement in areas like observability, data health, and platform scalability

Define and share a clear vision and strategic roadmap for the Data Intelligence team

In partnership with key stakeholders across the business, define and finalize the team's roadmap for the upcoming quarter, aligning it with company OKRs and communicating the plan broadly

 
 
What We're Looking For
You have at least two years of experience in a technical leadership role with people management responsibilities, ideally in a fast-moving startup environment.

You know how to lead teams, balance competing priorities, and create an environment where engineers do their best work.

You have hands-on experience building or leading a scalable data platform, and can confidently drive architecture decisions around pipelines, data modelling, and analytics infrastructure.

Clear communicator who builds trust and fosters collaboration across teams and with non-technical stakeholders.Inclusive leader who creates an environment where engineers of diverse backgrounds and experiences can thrive.

Don’t meet every single requirement? We still encourage you to apply!
At trawa, we’re dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your experience doesn’t align perfectly, we encourage you to apply – you may be the right fit for this or another opportunity.
 
 
 
Why Join Us
 
Real impact - At trawa, you will be part of a team that is dedicated to making a positive impact on the world. We value creativity, collaboration, and diverse perspectives.
 
Responsibility and Support - As a member of our small, agile team, you will have real ownership and the autonomy to shape how we build and scale our engineering foundations. We are committed to your success through weekly one‑on‑ones with your manager, skip‑level sessions with the CTO, and regular peer meetings with other Engineering Managers. You will also take part in cross‑department leadership development initiatives that help you collaborate, learn and grow alongside other leaders across trawa. You will be supported by experienced mentors and colleagues who want to see you succeed and make a meaningful impact across the organisation.
 
Ownership - We empower our team members to take ownership of their work and drive results, regardless of background or experience level.
 
Learning and Growth - We provide an annual budget and dedicated time for professional development. You’ll have opportunities for mentorship, learning, and career progression.
 
Inclusive by design - We’re an equal opportunity employer, and our team reflects that. Our tech organisation brings together over 15 nationalities, contributing a variety of languages, experiences, and perspectives. At trawa, we’re family-friendly with parents across all levels, and our diversity is represented throughout the company, including leadership. We’re committed to an inclusive environment where everyone can do their best work.
 
Package and Benefits - We offer a competitive compensation package including salary and stock options, 30 days of vacation, and a range of benefits including subsidies for home internet and lunches, a Sports Club membership, a productivity budget for work essentials (e.g., headphones, monitor), dedicated learning days with an annual learning budget, plus a weekly team lunch and regular team events.
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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT API integration Data Analysis Operations Project Management Python Mid level

Likely questions

  1. Tell us about work you have done that is close to the Engineering Manager - Data Intelligence role.
  2. How would you approach your first 30 days at trawa?
  3. Which of API integration, Data Analysis and Operations have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Engineering Manager - Data Intelligence role because I can bring practical experience in API integration, Data Analysis and Operations, learn the team quickly, and contribute to the outcomes trawa needs from this hire.

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