Data Engineer - London

Salary: £50,000 - 85,000 per year

Requirements:

• Excellent SQL and Python skills
• Experience working in modern cloud-based data environments
• Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata is highly desirable
• Experience with data governance and quality platforms such as Informatica, Collibra, or Microsoft Purview is highly desirable
• Experience within the Azure ecosystem, including data lakes and ETL/ELT pipelines, is a strong advantage
• Experience building automated data validation frameworks
• Experience defining and managing SLAs and SLOs
• Experience working with distributed data architectures
• Familiarity with CI/CD and Infrastructure-as-Code is beneficial
• A proactive, problem-solving mindset and a collaborative approach

Responsibilities:

• Improve data quality and reduce incidents across our enterprise data platform
• Build scalable observability across modern data systems
• Ensure data across the organisation is accurate, reliable, and trusted for business decision-making
• Take ownership of data reliability end-to-end
• Design and implement frameworks that monitor data health, detect anomalies, and enforce standards across complex data pipelines and platforms
• Work across our Data Engineering and Data Governance teams to support a proactive, reliability-led approach
• Define and manage data SLAs and SLOs
• Implement automated validation and observability tooling
• Lead root cause analysis when issues occur

Technologies:

• Azure
• CI/CD
• Cloud
• ETL
• Grafana
• Informatica
• Support
• Python
• SQL

More:

We are a successful multinational technology business with a growing data team based in Central London. This is a hybrid role, with the flexibility to work from home two days per week. You will join a high-impact team focused on improving how data is trusted and used across the organisation, helping us move from reactive issue resolution to a proactive, reliability-led approach.

last updated 36 week of 2026