(Senior) Data Engineer
- Own our data platform end-to-end, whether it means deciding on the best strategy to ingest a new data source or repairing a broken pipeline at 10 pm (thankfully our pipelines rarely break :))
- Proactively identify data quality issues, pipeline gaps, and business logic inconsistencies before data consumers find them
- Build and maintain data pipelines using Delta Live Tables (DLT) as our core framework, authored in Python and SQL and deployed via Databricks Asset Bundles
- Extend and maintain our custom API ingestion framework (a native Spark Data Source) to onboard new data sources, handling pagination, incremental state, and schema evolution
- Integrate and process streaming data from Azure Event Hubs into our data Lakehouse
- Own data modelling and medallion architecture decisions (Bronze/Silver/Gold), including evolving them as the business grows
- Develop a genuine understanding of the business domain: charging network operations, industry protocols (OCPP, OCPI), billing logic, and how the data is used by our Operations team
- Orchestrate and monitor multi-step jobs end-to-end using Databricks Workflows
- Manage and evolve cloud infrastructure using Terraform on Azure (Event Hubs, ADLS, Key Vault, Unity Catalog, networking) in combination with Databricks Asset Bundles for workspace assets
- Enforce data quality through DLT expectations and SQL alert definitions; own freshness and observability standards for the platform
- Maintain CI/CD pipelines via Azure DevOps
- Contribute to our customer-facing Charging Portal, which currently embeds Databricks dashboards and serves as the foundation for future API endpoints and customer self-service features
- 4–7 years of experience as a Data Engineer or equivalent role
- Strong SQL and PySpark skills, comfortable reasoning about distributed execution, partitioning, and query performance
- Hands-on experience with Databricks, ideally with Delta Live Tables (DLT), Databricks Workflows, and Unity Catalog
- Experience with streaming data architectures (Azure Event Hubs or equivalent)
- Experience building REST API ingestion pipelines: incremental loads, pagination, schema evolution, auth patterns
- Comfortable with cloud infrastructure as code (Terraform preferred, or equivalent)
- Familiarity with CI/CD pipelines (Azure DevOps or equivalent)
- Truly autonomous, able to define your own priorities and make architectural decisions you can defend
- Deeply curious about the business domain, you'll be expected to learn and understand the EV charging industry, protocols, billing flows, etc.
- Strong ownership mentality, you treat production incidents as your personal responsibility
- Comfortable managing shifting priorities and ambiguity
- Fluent in English, with strong written and oral communication skills
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