Senior Data Engineer
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Key skills for this role
Role Overview
Job requirements
• 5+ years in data engineering (or backend engineering with a heavy data focus)
• Hands-on at scale with a cloud warehouse (Snowflake ideally) and dbt; strong Python and SQL; solid data modeling, warehousing, and schema design
• Comfortable owning systems end-to-end in a fast-moving environment — you build it, you run it
• Already using AI coding tools day-to-day and excited to push how far they go
• 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
Job responsibilities
• 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
Job benefits
• Equity, in the form of share options (granted as a % of your salary)
• Healthcare provided by Canada Life (Premium plan)
• Life assurance of 2x your salary
• Paid-for co-working access (on-demand or subscription)
• Annual 'Team Week' whole company offsite
• L&D allowance of $1,800 CAD per year
Key Skills for This Role
Full Job Posting
Job requirements
- 5+ years in data engineering (or backend engineering with a heavy data focus)
- Hands-on at scale with a cloud warehouse (Snowflake ideally) and dbt; strong Python and SQL; solid data modeling, warehousing, and schema design
- Comfortable owning systems end-to-end in a fast-moving environment — you build it, you run it
- Already using AI coding tools day-to-day and excited to push how far they go
- 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
Job responsibilities
- 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
Job benefits
- Equity, in the form of share options (granted as a % of your salary)
- Healthcare provided by Canada Life (Premium plan)
- Life assurance of 2x your salary
- Paid-for co-working access (on-demand or subscription)
- Annual 'Team Week' whole company offsite
- L&D allowance of $1,800 CAD per year
About ev.energy
ev.energy is a private smart-charging software company helping utilities manage EVs and other flexible energy loads.
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