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Engineering Manager (Data Intelligence)

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Onsite

Engineering Manager (Data Intelligence)

trawa

Engineering Manager (Data Intelligence)

Skills

Data EngineeringDockerPythonpandasPostgreSQLData AnalysisAWSMetabasedbtGitHubTerraform

2 days ago

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Important information


Contract type:

Permanent

Location:

Berlin, Germany

Work mode:

Onsite

Published on:

18 October 2026

What they need


  • 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
  • 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
  • —-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- 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
  • You know how to lead teams, balance competing priorities, and create an environment where engineers do their best work
  • You have at least two years of experience in a technical leadership role with people management responsibilities, ideally in a fast-moving startup environment
  • 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
  • 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

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