About this role
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Salary: £95,000 - 95,000 per year
Requirements
: Strong experience in Data Engineering, Data Platform, or SRE-style rolesProficient in SQL and PythonHands-on experience with data observability tools (e.g., Grafana, Monte Carlo, Acceldata)Familiarity with data governance/quality platforms (e.g., Informatica, Collibra, Microsoft Purview)Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) is a strong advantageExpertise in defining and managing data SLAs and SLOsExperience building automated data validation frameworksKnowledge of distributed data architecturesFamiliarity with CI/CD and Infrastructure-as-Code is beneficialProactive problem-solver with a collaborative mindset Responsibilities: Improve data quality and reduce incidents across the organizationBuild scalable observability for a modern enterprise data platformEnsure data accuracy, reliability, and trust for critical decision-makingTake ownership of data reliability end-to-endDesign and implement frameworks to monitor data health and detect anomaliesEnforce data standards across complex data pipelines and platformsWork collaboratively with Data Engineering and Data Governance teamsShift from reactive issue resolution to a proactive, reliability-led approachDefine and manage data SLAs and SLOsImplement automated validation and observability toolingLead root cause analysis when issues occur Technologies: AzureCI/CDETLGrafanaInformaticaPythonSQLCloud More: We are a successful multinational technology business seeking a Data Reliability Engineer to join our growing data team in Central London. This hybrid role allows you to work from home for 2 days per week. You will have the opportunity to make a significant impact on data reliability within a complex enterprise environment, ensuring that our data is trusted and effectively used for critical business decisions.
If you are passionate about enhancing data systems and thrive in a collaborative environment, we encourage you to apply today. last updated 36 week of 2026
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