A successful multinational technology business is looking for a Data Reliability Engineer to join its growing data team in Central London. This role is hybrid - you''ll be able to work from home 2 days per week. This is a high-impact role focused on improving data quality, reducing incidents, and building scalable observability across a modern enterprise data platform. You''ll help ensure data across the organisation is accurate, reliable, and trusted for critical business decision-making. You''ll take ownership of data reliability end-to-end, designing and implementing frameworks that monitor data health, detect anomalies, and enforce standards across complex data pipelines and platforms. You''ll have experience in Data Engineering, Data Platform, or SRE-style roles, with strong SQL and Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo, or Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, you''ll help shift the organisation from reactive issue resolution to a proactive, reliability-led approach. You''ll define and manage data SLAs and SLOs, implement automated validation and observability tooling, and lead root cause analysis when issues occur.