Senior Data QA Engineer

Searchland

Greater London

Hybrid

GBP 70,000 - 100,000

Full time

41 hours ago
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Benefits offered by this job

Vitality private healthcare
£500 annual learning fund
Monthly free lunch

Job summary

Searchland is seeking a Senior Data QA Engineer to own the accuracy and reliability of its growing property data platform. You’ll design data quality checks, anomaly detection, and monitoring across data pipelines, and own production scraping infrastructure with Playwright and anti-bot tooling.

You will work with Python, SQL, dbt, and BigQuery to diagnose root causes and raise the data quality bar. This hybrid role is based in London with flexible working arrangements and a strong focus on

Qualifications

  • Strong Python and SQL experience with data pipelines.
  • Experience designing data quality checks including validation and anomaly detection.
  • Hands-on with dbt and BigQuery.
  • Experience running production web scraping at scale (Playwright) and anti-bot approaches.

Responsibilities

  • Design and build data quality checks - validation, anomaly detection, freshness and coverage monitoring across core data pipelines.
  • Own and improve production web scraping infrastructure and monitoring.
  • Build and maintain data orchestration workflows (Dagster or similar).
  • Develop internal QA tools using AI-assisted coding tools to speed up investigations.
  • Diagnose root causes using Python, SQL, dbt, and BigQuery.

Skills

Python
SQL
dbt
BigQuery
Playwright
Dagster
Airflow
AI-assisted coding
Data quality checks

Education

Bachelor's degree (data/engineering)

Tools

Dagster
Airflow
Playwright
dbt
BigQuery
Claude Code

Job description

Working Location: 1 - 2 days a week, hybrid to London office


PropTech | SaaS | Data Engineering


About Searchland

Searchland is a high-growth, B2B prop-tech company transforming how businesses and individuals access and leverage property data. Our platform empowers property developers, land agents, architects, and planners with real-time insights, helping them make smarter, data-driven decisions when acquiring and developing land.


In just six years, we’ve built one of the UK’s most advanced property data pipelines, integrating thousands of data sources and processing terabytes of information with less than 24-hour latency. Our cutting-edge platform is shaping the future of property intelligence.


About the Role

We're looking for a Senior Data QA Engineer to take ownership of the accuracy, recency and reliability of the data that powers our products. Over the past six years we have built one of the largest property data databases in the UK, across 1000s of different datasets with many different collection techniques, along with internal QA tools.


This role will specialise in taking our QA systems further: hardening the validation and anomaly detection that catches problems before our customers do, keeping our scrapers healthy and resilient as sources change under us, and shipping fast, practical tooling that makes the whole team more effective.


This is a role for someone who loves the \"why does this look wrong\" puzzle and wants to own and raise an existing quality bar rather than maintain someone else's.



  • Design and build data quality checks - validation, anomaly detection, freshness and coverage monitoring - across our core data pipelines

  • Own and improve production web scraping infrastructure (Playwright, proxy management, anti-bot handling) and keep scraper health visible and actionable

  • Build and maintain data orchestration workflows (Dagster or similar) that are reliable and easy to debug

  • Develop fast, pragmatic internal QA tools - using AI-assisted coding tools like Claude Code to move quickly — that help the team investigate and resolve data issues

  • Work across Python, SQL, dbt and BigQuery to diagnose root causes, not just symptoms

  • Get comfortable working in TypeScript/Node where internal tooling calls for it

  • Partner across the data and engineering team to raise the overall quality bar, sharing context on what's fragile and why


What You'll Bring


  • Right to work in the UK - we cannot offer sponsorship for this position

  • Strong Python and SQL with hands-on experience with dbt and BigQuery

  • A track record designing data quality checks - validation, anomaly detection, freshness and coverage monitoring

  • Experience running production web scraping at scale - Playwright (or equiv), proxies, anti-bot evasion, and monitoring scraper health

  • A fast, pragmatic builder mindset, fluent with AI-assisted coding tools (e.g. Claude Code)

  • Experience with a data orchestrator - Dagster ideally, or Airflow/Prefect


Nice to have


  • UK planning or property domain knowledge


Time Off

Rest properly. 37 days off in total, including your birthday and a full Christmas shutdown


Flexibility & Equipment

we offer flexible and hybrid working as well as WFH equipment provided so you can work well no matter the where


Growth & Development

We invest in your progression with a £500 annual fund to spend on courses, conferences or qualifications.


Health & Wellbeing

Your health matters. We cover it – physically, dentally and mentally with Vitality private healthcare


Culture & Perks

We work hard and we celebrate together – food, fun and plenty of team moments including a monthly free lunch and team activities & events


Culture & Perks

We work hard and we celebrate together — food, fun and plenty of team moments including a free lunch (first week of every month) and monthly team activities & events


Fair & Transparent Compensation

We always share our salary ranges, progression frameworks and have a salary sacrifice pension scheme


Our Commitment to Inclusion

We are committed to creating an inclusive and diverse workplace where everyone feels valued and empowered to thrive. We welcome applications from all backgrounds, regardless of race, ethnicity, gender, sexual orientation, disability, age, religion, or any other characteristic. If you require any adjustments during the recruitment process, please let us know—we are happy to support you.

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