Data & Analytics Senior Test Engineer

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.

The post holder will have responsibility for ensuring that technical data and analytics solutions, which include applications, reports, extracts and refunds, which have been designed and developed in Data & Analytics have been thoroughly unit, system and user acceptance tested in line with the published Data & Analytics test strategy.

• 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 ope rationalised 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

• Define test requirements from accurate analysis of project documentation, test cases and test data according to the scope defined and in accordance with Data & Analytics standards to comply with business requirements.
• Design and automate tests effectively for work items assigned to their scrum agile development team. Lead a test‑first development method, in which the tests constructed will be used to prove the correctness of data extraction from sources, transformation and load code for a data warehouse or application, to validate reports and user interfaces built using various visualisation tools.
• Work with Technology & Data Business Analysts to achieve sign off from a variety of business stakeholders that the Data & Analytics solutions have met requirements through comprehensive test results and that the completion of all test activity has been undertaken within scheduled timescales and business expectations.
• Troubleshoot issues found during testing, working closely with peers and Business Analysts across Technology & Data. Resolve and fix such identified issues, or suggest alternative solutions which still meet business requirements.
• Raise defects where necessary and pro‑actively track to a timely completion, re‑testing fixes to ensure reported problems are corrected. Identify and escape, where appropriate, critical technical issues to the Development Stream Lead and/or Technical Delivery Manager that may impact on the timeline.
• Develop, actively contribute to, maintain and publish a test strategy which will form the basis of all Data & Analytics test activity over a 1 to 3 year period.
• Contribute to and provide insight into agile process activities such as estimation of tasks, supporting work planning and completed work demonstrations, as well as generating test documentation as needed by the working practices agreed by the team.
• Lead the construction of a complete regression test suite that maximises the use of test automation, and that ultimately fits into an overnight/continuous integration build process. Suggest and execute initiatives to improve the testing process
• To ensure that TfL’s policy on privacy and data protection is adhered to in the design of all BI solutions. That access to data is controlled, that personal data is stored securely and is anonymised in accordance with best practice guidelines.

• Detailed working knowledge of software testing with a high SQL or data content; design of unit tests, integration…