Senior Data Engineer

Senior Data Engineering Manager

London - Hybrid (2 days/week, usually Tues & Fri)

12-month contract

Day rate: £700 (umbrella)

About the Role

Join a critical data remediation programme within the Surveillance Team/Lab, part of the Markets Platform area of a major financial services business.

You will lead design and delivery of stable, scalable, and performant data solutions within a complex GCP architecture, driving simplification and improving pipeline automation to enable timely, secure data delivery to surveillance systems.

Key Responsibilities

• Engineer stable, scalable, performant, accessible, testable, and secure data products aligned with endorsed technologies and best practices
• Lead the design, build, and optimisation of GCP-based data pipelines for critical surveillance and remediation projects
• Apply common build patterns to minimise technical debt and adhere to group policies and frameworks for build and release
• Participate actively in design and implementation reviews, Agile ceremonies, and planning to set clear goals and priorities
• Identify opportunities to automate repetitive tasks and promote reuse of components
• Engage with technical communities to share knowledge and advance shared capabilities
• Lead incident root-cause analysis and promote active application custodianship to drive continuous improvements
• Invest in your ongoing development of technical and Agile skills
• Collaborate closely with architecture, security, and compliance teams to ensure solutions meet regulatory requirements
• Manage and enhance CI/CD automated pipelines supporting data engineering workflows
• Support potential transition planning to vendor surveillance products

Core Skills & Experience

• Proven hands-on experience with Google Cloud Platform (GCP) and components such as Dataflow, Pub/Sub, Cloud Storage
• Deep expertise in BigQuery and Big Data processing
• Strong programming skills in Python or Java used extensively in surveillance data integration
• Solid SQL expertise for querying, transforming, and troubleshooting data
• Experience building robust ETL pipelines from diverse source systems
• Familiarity with CI/CD pipeline automation and enhancement
• Understanding of Agile delivery frameworks, including Jira and sprint planning
• Knowledge of Terraform for infrastructure as code provisioning
• Experience with containerization technologies to deploy and manage environments
• Ability to simplify complex architectures and communicate effectively across teams
• Strong stakeholder management and influencing skills
• Experience in financial services or surveillance system data engineering
• Understanding of data governance and data quality best practices
• Exposure to vendor-based surveillance solutions

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