Data Engineering Manager

Transport for London

Greater London

Hybrid

GBP 80,000 - 95,000

Full time

10 days ago

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Benefits offered by this job

Final salary pension
Free travel on TfL network
Hybrid working 50/50

Job summary

Transport for London seeks an Data Engineering Manager - Azure to lead the analytics development team and deliver data products that inform operational decisions. The role focuses on BI, data warehousing and scalable analytics solutions using Azure.

You will guide complex projects, ensure governance and security, and drive continuous improvement across data platforms while balancing office/home hybrid work arrangements.

Qualifications

  • Degree in a technology/computer science field or equivalent.
  • Extensive experience delivering data/analytics solutions.
  • Strong knowledge of ETL, data warehousing and data modelling.
  • Experience with Agile development and leading teams.

Responsibilities

  • Lead delivery of BI solutions from development to operation.
  • Direct a skilled analytics team to deliver data products.
  • Ensure data governance and privacy compliance across platforms.
  • Align solutions with the Technology and Data Strategy.

Skills

ETL
Data warehousing
Data modelling
Agile methods
Leadership
Communication

Education

Degree in technology/computer science

Tools

Azure
Power BI
SQL

Job description

Job title: Data Engineering Manager - Azure

Salary: £80-95k

Grade: Band 4

Contract type: TfL

Reference: 5294

Contract details: Permanent 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 post holder is accountable for leading the successful development and delivery of data and analytics solutions and applications which support operational and business decision making by directing a technically high skilled team with expertise capability within the Analytics Development and Delivery team.

  • 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
  • Accountable for leading the delivery of business intelligence solutions, which will be operational for 2-5 years, from the Data and Analytics’ Development and Delivery team, which support a range of strategic TfL business processes relating to operational performance, usage of the Future Ticketing Programme/ Oyster revenue collection system and other high profile data sets.
  • To lead a development stream and own the delivery of complex multiple projects, from development to operational release, ensuring the team is adequately resourced, ensuring any critical technical issues relating to development are raised to the Data and Analytics Leadership team.
  • Accountable for the continuous maintenance and improvement of existing best practice and development of new solutions to ensure the optimal creation and production of business intelligence is in line with the Technology and Data strategy set by the Chief Technical Officer.
  • Responsible for delivery of design solutions and resolution of complex issues ensuring risk mitigation through system and process controls. Ensure that the TfL's policy on privacy and data protection is adhered to in the design of all solutions & the access to data is controlled, that personal data is stored securely ensuring anonymity in accordance with best practice guidelines.
  • To lead and articulate the vision for continuous advancement in data and analytics tooling and technology based on industry trends and best practice so that ETL code or reports/visualisations delivered meets business requirements, aligns to the Technology and Data Strategy, conforms to Data and Analytics design specifications and is compliant with data protection, audit & finance guidelines.
  • To ensure the team document the technical design of data warehousing and/or business intelligence application components in accordance with Data and Analytics' standards and ensure they complete all exit / entry requirements from a governance perspective.
  • Provide technical expertise to ensure technical fixes are addressed where necessary & can run in a system testing environment.
  • To lead on and contribute fully in quality assurance design walk-through of all data or business intelligence solutions with the senior management team. When faced with business scenarios which do not fit a standard approach, work collaboratively through each issue with peers to ensure that the solution meets business requirements and the principles of best practice, tailoring approaches where needed and mitigating risks.
Knowledge
  • Expert knowledge of ETL, data warehousing, data modelling, dealing with big data and the approaches
  • Expert knowledge of data schema structures and design and how they can be correctly applied to deliver robust solutions that meet specifications
  • Expert knowledge of Agile development techniques and measurements ensuring that team size and structure is appropriate for scenario-A degree in a relevant technology/computer science subject/equivalent technical qualification plus sound on the job experience of the platform specialism
  • Knowledge of best practice data encryption techniques and standards
  • Knowledge of relevant national and international legislation pertaining to the Government/Public Sector IT
  • e.g. Data Protection Act, EU Procurement Directives and Freedom of Information Act, including knowledge of basic confidentiality and data protection requirements that apply to the processing of customer information
  • Broad knowledge and understanding of planning and project management tools and techniques
Skills
  • Expert in data and analytics solution design and implementation using Agile and equivalent methodologies; leading a team whose responsibility is to deliver across multiple projects
  • Expert in tooling and technology that support all aspects of the Data and Analytics development lifecycle in an agile scrum environment
  • Exceptional problem solving, design and architectural skills, Ability to manage customer expectations and deliver new/changed services
  • Strong leadership and people management skills, source of inspiration for team and peers
  • Ability to build effective working relations with project delivery teams
  • Strong written and verbal communication skills including ability to explain complex information with senior management and directors, produce summary and feasibility reports on complex technical and business issues.
  • Ability to analyse complex systems, spot trends, draw conclusions, and produce solutions and decisions
Experience
  • Experience in design and development of complex data and analytics solutions in an iterative manner for large enterprise business /data warehouse implementations
  • Experience in delivery of data and analytics solutions/applications to automate business processes and to meet user function and quality characteristics, including but not limited to; performance, availability, scalability, security, and integrity;
  • ETL coding standards: ensuring that code is standardised, self-documenting and can be reliably tested
  • Extensive experience in managing business intelligence development teams delivering complex projects in multi-vendor environments
  • Broad experience of managing risks and mitigations related to business intelligence solutions development

We are committed to equality, diversity and inclusion. We want to represent the city we serve, which will help us become a more innovative and efficient organisation. Our goal is to make our recruitment as inclusive as possible. We are a disability confident employer who guarantee an interview to any disabled candidate who meets all of the essential criteria. We also use anonymising software that removes identifying information from CVs and cover letters to make the process fair.

Benefits
  • Final salary pension scheme
  • Free travel for you on the TfL network
  • Reimbursement of 75% of the cost of a standard class Ticket for National Rail travel from home
  • 30 days annual leave plus public and bank holidays
  • TfL is committed to work-life balance, operating a hybrid working approach where business and role requirements allow
  • Private healthcare discounted scheme (optional)
  • Tax-efficient cycle-to-work programme
  • Retail, health, leisure and travel offers
  • Discounted Eurostar travel

We will make every effort to give you as much notice as possible, however some interviews/assessments could be organised at short notice.

Vetting Process

At Transport for London, safety, trust and fairness sit at the heart of how we recruit. Our Vetting Charter (https://tfl.gov.uk/corporate/careers/our-vetting-process) explains the checks we carry out before you join us, helping ensure we create a safe, inclusive and reliable network for everyone who depends on our services. We simply ask that the information you provide is honest and accurate so we can progress your application smoothly. If something doesn't match or can't be verified, we may not be able to move forward with your application, but we'll always treat you with transparency, respect, and clear communication throughout.

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