Engineering Manager

Who you are

• 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
• 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

What the job involves

• 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