Technical Lead - Data Engineer

Job title: Technical Lead - Data Engineer

Salary: £80-88kGrade: Band 3

Contract type: TfL                                          Reference: 5281

Contract details:Location: Pier Walk, North Greenwich

Application closing date: 19/8/2026 at 23:59

All offers of employment are subject to satisfactory right‑to‑work checks.  Candidates must be able to demonstrate their right to work in the UK.  At the present time TfL is unable to offer visa sponsorship for this role. 

*Hybrid working within this role enables a balance of 50 per cent of time split between the office and home over a 4-week period. Hybrid working arrangements can evolve subject to business requirements.

Overview of project/role

The Technical Lead is responsible for driving the technical design and implementation within an Agile team in Data & Analytics (D&A), working on the development and maintenance of bespoke software which complies with D&A architecture standards, design principles and development standards.

The role holder will provide technical direction to a D&A agile team, during the creation of high and low level technical designs and during software development and testing.

The role holder is a subject matter expert in data platforms.

• Data & Analytics provide insight to inform customer and business decisions (harnessing data to solve transport challenges).
• Data & Analytics will own Business Intelligence/Data Science, data and/or analysis platforms, and the frequent delivery and support of all production services using these platforms. A priority will be designing delivery of tools that allow for self-serve across TfL, providing quality information for decision making.
• Where prototyped concepts demonstrate that data can be used to improve business, operational or customer outcomes this will be scaled, built and operationalised as a supported data product.
• Data & Analytics will define and publish a data governance framework, architecture, development standards and enforce compliance across all business units with teams working in this area.
• To effectuate a lower total cost of ownership for data and analytics services.

Key Accountabilities 

• Lead on the development processes and accountable for the design, build and test of data products based on a variety of data sources, using a range of different storage technologies, access methods or both to ensure that created products are repeatable and reusable. Author and review design standards to be agreed at the relevant technical forums within D&A.
• Actively involved in data innovation, identifying opportunities for innovation with new tools and uses of data. 
• Lead on stakeholder management in relation to ensuring other technical domains within T&D are aligned to support the work of D&A and develop strong working relationships to streamline cross team processes.  
• Lead on the adoption of the departments Delivery Framework and Best Practices in the agile team.  Understand and champion the role of Test Driven Development in the development lifecycle and the use of Test Automation to enable continuous integration and deployment.
• Lead, organise, conduct or participate in meetings / delivery events and follow processes defined for their team to ensure quality of work and efficiency of the team.
• Uphold the principles and standards of Data & Analytics to ensure that work delivered is of high quality, well rounded, robust, very high performing, and meets the priorities set by the agile process
• Using technical knowledge and experience feed in to forecasts (man days) and delivery plans for the Technical Delivery Managers to present at wider forums and supporting at these forums where required.
• Responsible for line managing, developing, motivating and engaging a development team, ensuring that they are being given the full support needed to successfully deliver data products for D&A.

Knowledge

• Data Solution development lifecycle including design, development, unit, functional and regression testing and deployment.
• Agile Scrum development approach including the nature and purpose of Agile ceremonies
• Practitioner Knowledge in:
• T-SQL, Databricks SQL and Python. 
• Azure DevOps, including workflow management (Boards) & development performance management, Deployment and Release Pipelines, an