Senior Data Quality Engineer

You will:

• Design and develop data quality checks covering validation, anomaly detection, freshness and coverage.
• Own and improve production web-scraping infrastructure, including Playwright, proxies and anti-bot handling.
• Build and maintain data orchestration workflows using Dagster or similar.
• Develop internal QA and investigation tools to improve how data issues are identified and resolved.
• Use Python, SQL, dbt and BigQuery to diagnose root causes and improve data reliability.
• Work with TypeScript/Node.js where required.
• Partner with data and engineering teams to continuously raise the quality bar.
• Use AI-assisted development tools to build and ship solutions efficiently.

• Strong Python and SQL skills, with hands-on dbt and BigQuery experience.
• Proven experience designing data quality, validation and anomaly detection processes.
• Production experience with web scraping at scale, ideally using Playwright or an equivalent.
• Experience with big data sets and big data warehouses
• Experience with proxies, anti-bot measures and scraper monitoring.
• Experience with Dagster, Airflow, Prefect or another data orchestrator.
• Comfort working with TypeScript/Node.js.
• A pragmatic, hands-on approach and strong problem-solving skills.

Desirable:

• Geospatial data experience (PostGIS, GeoPandas, GDAL), GCP/Kubernetes/Docker experience
• Knowledge of the UK property/planning sector.

• 37 days’ annual leave, including birthday and Christmas shutdown
• Hybrid working and home-working equipment
• £500 annual learning and development budget
• Private healthcare
• Salary-sacrifice pension scheme
• Regular team events and monthly team lunches