Data Engineer
- Location
- Greater London, England, United Kingdom
reusable datasets rather than another copy Data contracts and schema evolution between producers and consumers, so schema changes do not silently break downstream systems Validation, reconciliation and quality monitoring at the boundaries that matter, including freshness and completeness checks that catch problems before consumers do Lineage, provenance and auditability … from external APIs, databases and files Correctness under failure. Understanding of schema design, data contracts, idempotency, replay, backfills and late-arriving data, with automated validation and quality checks as standard practice Operational ownership. You monitor production pipelines, investigate failures and turn incidents into better contracts, checks and design. You know ...