Data Engineering Lead

Required

• You own outcomes, yours and your team's, and decide well without full information
• You keep things simple, know what decisions cost, and explain the trade-offs
• You use AI to move faster without giving up security, quality or judgement
• You grow people, and you communicate clearly across teams and time zones
• 6+ years in data or backend engineering, predominantly on production systems.
• At least 1 year leading or mentoring data engineers, as a tech lead, team lead or senior engineer with clear technical ownership.
• A track record of owning a data platform, or a significant part of one, across architecture, reliability and cost.
• Strong Python, with extensive experience building and debugging production pipelines and services.
• Advanced SQL, including window functions, complex transformations and query performance analysis.
• 2+ years of production dbt experience: incremental models, macros, tests and documentation.
• Hands-on experience operating Apache Airflow in production, including backfills, monitoring and troubleshooting.
• Production experience with BigQuery: data modelling, partitioning, clustering, and query and cost optimisation.