Job Description
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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