Data Quality Engineering Lead (AI/Data)

Location: London, United Kingdom; hybrid-friendly environment with company hubs in New York, London, Singapore, and Cyprus.

Company

hirify.global provides institutional-grade trading technology connecting institutions to the global digital asset ecosystem and supporting the full trading lifecycle.

What you will do

• Lead the data quality engineering team and own data correctness across hirify.global.
• Continuously validate client-facing REST and WebSocket APIs, as well as cloud delivery through S3, Snowflake, and Databricks, across environments and client entitlements.
• Test streaming behaviour including sequencing, gap detection, snapshot-to-increment consistency, reconnect and replay correctness, subscription staleness, and agreement between streamed and REST views.
• Apply adaptive detection, LLM and agentic tooling, deterministic rules, invariants, and cross-source reconciliation to generate checks and triage alerts.
• Design load, performance, resilience, and failure-mode tests; provide actionable evidence, drive defects to resolution, and add preventive checks.
• Own data governance, OpenMetadata, reference and security master data, including cataloging, lineage, listings, symbol mapping, contract specifications, validation, and rollback.

Requirements

• Track record of leading data QA or data quality teams, preferably in market data or other high-throughput, real-time data.
• Deep understanding of streaming and API behaviour, including throughput, WebSocket semantics, ordering, recovery, and failure modes.
• Experience inventorying and testing a large API and data surface end to end.
• Hands-on experience with data governance, including cataloging, lineage, and ownership.
• Experience with performance and load testing of distributed systems.
• Strong engineering background with experience designing platforms and building on shared infrastructure rather than creating one-off cron-based tooling.
• Practical experience applying LLM and agentic tooling to engineering problems.
• Experience with Flink, Doris, Dagster, Spark, and OpenMetadata, or comparable tools such as Apache Atlas.

Culture & Benefits

• Kind, respectful, inclusive, and collaborative environment focused on trust, integrity, and mutual growth.
• Globally distributed team with global offsites and team outings.
• Retirement plan contributions, medical, dental, and vision insurance.
• Unlimited vacation, a PTO bonus for qualifying vacation usage, and a yearly discretionary cash bonus.
• Employee stock options, 20 weeks of paid parental leave after one year, and a home-office setup stipend.
• Monthly wellness credit, lunch credit for in-office days, donation matching, catered lunches, snacks, and drinks.