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ev.energy

Senior Data Engineer

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Description

  • Data is at the heart of everything ev.energy does — from measuring charging events and grid impact to calculating the utility incentives we pay drivers
  • As we scale our data function, we’re hiring a Senior Data Engineer to lead the design of our warehousing architecture and own our pipelines end-to-end, from ingestion through to the analytics and payouts they power
  • Design, build, and own scalable data pipelines across our modern data stack (Fivetran, Snowflake, dbt, with Holistics and Hex for analytics), from ingestion to warehousing to delivery
  • Lead architectural decisions across the data platform — including infrastructure like our OLake → Iceberg → Snowflake pipeline — setting technical direction and establishing performance and cost baselines
  • Own data quality, lineage, and observability: freshness, completeness, schema-drift detection, cost-per-job, and SLAs — the correctness our incentive payouts depend on
  • Partner with engineering and analysts on projects like telematics accuracy and the driver incentive reporting, turning business requirements into reliable, well-modeled data
  • Model data for both operational and analytical use cases, and build the dbt transformation layers (staging / intermediate / mart) that keep it maintainable and transparent
  • Use AI tooling (Claude, Cursor, and equivalents) as a core daily practice — to build pipelines, write and review SQL and dbt models, and move faster without cutting corners on quality
  • Our team runs on AI-native infrastructure (agentic routines, shared skills, an internal competency framework); you’ll use it, improve it, and bring the best of the ecosystem back to the team

Benefits

  • Accelerate your career: An environment of personal and professional growth, with a transparency progression framework. Books, courses and conferences, on us.
  • Work at your best: Build the perfect home off or use a co-working space. Whatever helps you find your groove, we’ll help with the costs. MacBook or PC, your call.
  • Collaborate creatively: Slack, Google Meets, Notion, Jira. Plus regular Lunch & Learns, virtual games sessions, and an annual company-wide get-together in person.
  • Recharge your batteries: Things move fast in a start-up, so we provide a generous holiday allowance to help you switch off, see family, explore the world or just do your thing.
  • Upgrade your ride: For our senior roles, we offer an EV allowance to help you switch to a more sustainable vehicle for personal usage.
  • Medical & life insurance
  • Pension contribution
  • Paid parental leave
  • Personal development support
  • Flexible working patterns
  • Charity matching
  • 5+ years in data engineering (or backend engineering with a heavy data focus)
  • Already using AI coding tools day-to-day and excited to push how far they go
  • Comfortable owning systems end-to-end in a fast-moving environment — you build it, you run it
  • Hands-on at scale with a cloud warehouse (Snowflake ideally) and dbt; strong Python and SQL; solid data modeling, warehousing, and schema design
  • Experience supporting production ML or real-time analytics workflows
  • Familiarity with CDC / streaming (Apache Iceberg, S3) and BI tooling (Holistics, Hex)
  • Background in energy, IoT, payments, or another high-volume, correctness-critical domain

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

Data Engineering jobs by country — openings, pay and top skills →