Principal Data Quality Engineer: AI-First Platform

Talos; Greater London; Hybrid; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Retirement plan contributions

Unlimited Vacation + PTO bonus

Yearly discretionary cash bonus

Employee stock options plan

Medical, dental, and vision insurance

Paid parental leave

Job summary

Talos is seeking a Principal Engineer, Data Quality Platform, to lead the data quality engineering team and own reference and security master data, along with supporting pipelines and platforms. The role involves testing client-facing endpoints, validating REST and WebSocket APIs, and ensuring data correctness before clients see it.

You will work with a small, independent team, apply adaptive detection methods, and drive improvements across streaming and batch data paths in a hybrid London

Qualifications

• Experience leading data QA or data quality teams, preferably on high-throughput, real-time data.
• Deep understanding of streaming and API behaviour: 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: cataloging, lineage, ownership.
• Experience with performance and load testing of distributed systems.

Responsibilities

• Lead AI-first data quality engineering.
• Validate every client-facing endpoint continuously, focusing on REST and WebSocket APIs; cloud delivery (S3, Snowflake, Databricks) in scope.
• Test resilience and load; design load, performance and failure-mode tests.
• Raise faults with evidence, drive to resolution, and add checks to catch issues earlier.
• Build and maintain a data assets and APIs catalog, covering lineage and downstream consumers.

Skills

Data QA leadership

Streaming API testing

LLM tooling usage

OpenMetadata experience

Distributed systems performance

Tools

OpenMetadata

Flink

Dagster

Spark

Snowflake

Databricks

Job description

Talos is seeking a Principal Engineer, Data Quality Platform, to lead the data quality engineering team and own reference and security master data, along with supporting pipelines and platforms. The role involves testing client-facing endpoints, validating REST and WebSocket APIs, and ensuring data correctness before clients see it.

You will work with a small, independent team, apply adaptive detection methods, and drive improvements across streaming and batch data paths in a hybrid London