About this role
Salary: £67,000 - 107,000 per year
Requirements: Strong, hands-on SQL and Python experienceSolid experience supporting and troubleshooting production ETL/data pipelinesProven expertise in data reconciliation, root-cause analysis, and incident managementExcellent operational documentation and process mapping skillsAbility to work independently, manage competing priorities, and communicate clearly with stakeholdersPrior experience in Financial Services, market data, reference data, or enterprise data platforms is a plusExposure to pipeline migration, automation, and data transformation programmes is a plus Responsibilities: Own, monitor, and execute end-to-end production data pipelines on weekly, monthly, and quarterly schedulesPerform data controls, reconciliations, and validationsEnhance pipelines for schema or source changes using SQL and PythonInvestigate failures, automate manual processes, and support data migration projectsPerform root-cause analysis on pipeline failures, resolve data discrepancies, and manage recovery and re-run activitiesBuild clear operational runbooks, SOPs, and process maps to close documentation gaps and support knowledge transferLiaise with internal SMEs, vendors, and external data providers to support access, onboarding, and client requests within agreed SLAs Technologies: Big DataETLIncident ManagementSupportPythonSQL More:
We are hiring a proactive Big Data Engineer for a remote, UK-based contract role on an initial 3-month basis. This role focuses on supporting and improving our critical data pipelines and enterprise datasets through production support, pipeline engineering, automation, and data quality management. The position is inside IR35 with an umbrella arrangement and offers the opportunity to play a pivotal role in reliable data delivery, incident resolution, and platform modernisation initiatives.
last updated 33 week of 2026