Senior Regulatory Data Developer

As a Senior Regulatory Data Developer, you'll modernise complex reporting pipelines and build scalable cloud architectures that process high-volume data with pinpoint accuracy.
Our Data Engineering department powers high-volume data platforms that support 24/7 global operations. Within this function, the Regulatory Data team builds and maintains batch and near real-time pipelines that transform complex operational data into precise reporting outputs.
In this hands-on technical role, you’ll lead the modernisation of legacy SQL Server systems into Google Cloud Platform architectures. You’ll design scalable BigQuery and Dataform pipelines, mentor engineers, and adopt AI-assisted development tools to drive engineering quality across our reporting estate.
This role is eligible for inclusion in our hybrid work from home policy.

• Strong experience in Google BigQuery and Dataform, including data modelling and query optimisation
• Advanced SQL capabilities, covering complex queries, stored procedures and performance tuning
• Proven track record designing, building and supporting ETL or ELT pipelines
• Practical knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub and Cloud Composer
• Background in modernising or supporting SQL Server reporting solutions
• Working familiarity with AI-assisted development tools such as Claude Code or similar coding assistants
• Orchestration expertise for scheduled and dependency-driven data workloads
• Solid understanding of software engineering practices including CI/CD, testing, code review and observability
• Track record of leading technical designs, data models and delivery planning for major workstreams
• Assertive approach to assessing existing systems and driving sustainable improvements
• Lead regulatory data projects and major workstreams from planning through to operational delivery
• Design, develop and maintain robust reporting systems across SQL Server and Google Cloud Platform
• Build resilient ETL and ELT pipelines for data ingestion, transformation and validation
• Modernise legacy SQL Server reporting solutions into scalable, cloud-native GCP architectures
• Deliver data-quality checks, reconciliation controls, monitoring and operational safeguards
• Embed engineering standards including version control, automated testing, CI/CD and documentation
• Review the regulatory data estate to reduce technical debt, remove duplication and simplify architectures
• Mentor and support engineers through technical guidance, code reviews and constructive feedback
• Work with Team Leads, Technical Leads and Product stakeholders to align delivery plans
• Utilise AI-assisted development tools to increase engineering quality, efficiency and consistency

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