Senior Data Engineer/Analyst

Your responsibilities

• Act as a senior data engineering specialist and trusted adviser across Clearing Risk, including:
• Lead data engineering workstreams across change-the-company, regulatory and risk transformation initiatives, from source ingestion through curated data products and reporting consumption.
• Engage stakeholder groups across Clearing Risk and translate business, risk and reporting requirements into scalable data engineering solutions.
• Review existing clearing risk data flows and reporting processes, identify control, reliability or efficiency gaps, and implement fit-for-purpose engineering improvements.
• Embed data governance requirements in engineering delivery, including approved data sources, critical data elements, metadata, lineage, ownership and KRI traceability.
• Design and maintain source-to-target mappings, ingestion pipelines, transformations, reconciliation logic and curated data models across source systems, cloud platforms and reporting outputs.
• Build and execute automated data tests covering schema, completeness, accuracy, reconciliation, transformation logic and end-to-end pipeline validation, while supporting UAT and evidence preparation.
• Design, build and maintain reusable data pipelines, curated data layers and consumption-ready datasets using SQL and Python, supporting Tableau, regulatory reporting and management information.
• Strengthen data platform controls through monitoring, logging, alerting, exception handling, technical documentation and controlled remediation processes.
• Support production regulatory, audit and self-identified issues by providing data lineage, technical analysis, control evidence and remediation delivery to agreed quality and schedule.
• Coach team members and promote engineering standards for coding, version control, documentation, testing, deployment, support and data governance.