Senior Data Engineer
Posted Updated
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
