Founding Data Engineer
london, south east england, united kingdom
Day30
events from AppsFlyer, Adjust, and other MMPs Engineer features for ML models: temporal patterns, user behaviour sequences, campaign attribution Ensure data quality through comprehensive validation, deduplication, schema checks, and defensive programming Optimise pandas/Polars pipelines for performance - we process millions of events daily Handle messy real-world data: duplicates, out-of-order events, schema drift, missing fields … mypy, uv, pytest, SQLFluff, pre-commit) Experience with messy real-world data: you've dealt with duplicates, nulls, schema drift, out-of-order events, and know how to build defensive pipelines Data quality mindset: you instinctively add validation checks, sanity-check implausible results, and think about edge cases before they become production bugs Right to Work in the UK More ❯
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