{"id":4019008,"url":"https://alion.io/job/kaluza-qa-lead-data-platform-tl1","title":"QA Lead - Data Platform (TL1)","company":{"id":51455,"name":"Kaluza","domain":"kaluza.com","url":"https://alion.io/company/kaluza","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-10T06:52:35Z"}},"role":"QA","role_family":"QA","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom","Bristol, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"SQL","optional":false},{"name":"GDPR","optional":true},{"name":"Looker","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-11-10T09:52:57Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T00:27:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Location: Bristol or London\nLevel: TL1\nTeam: Quality\nContract: Permanent\nReporting To: Shira Tsinovich\nPlease note: This role requires an existing right to work in the UK. We can’t offer visa sponsorship, but we review sponsorship role by role, so keep an eye on our careers site for future opportunities.\nAbout Kaluza\nKaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future.\nOur platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.\nWith teams across Europe, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.\nWhat you’ll do\nAs the QA Lead across Data you will work closely with the Data Org, setting the testing approach and quality standards for its products and platforms.\nYou will be the quality partner for data delivery teams, advising on testing and quality assurance across the software delivery lifecycle. You will work with Data Engineering, Product teams, and clients to make sure changes meet the defined quality bar before they reach client environments.\nThis is an individual contributor role with no line management responsibilities. You will influence through expertise, relationships, and evidence.\nDefine and own the test strategy and test plans for the Data Org, deciding what is tested and how, based on risk, criticality, and impact to the business and clients.\n\nCreate and deliver test plans for complex data systems, covering functional, transformation, schema, and ETL/migration testing, plus end-to-end coverage across data and engineering teams.\n\nSet the quality gates that determine whether a change is fit to be promoted to client environments, and assess release readiness against milestones.\n\nEnsure defects are logged, triaged, prioritised, and tracked to resolution in accordance with Quality standards, and drive root-cause analysis on recurring or high-impact issues.\n\nSelect and maintain the tools and frameworks used for testing, with automated checks running in CI/CD.\n\nWork with delivery teams, programme teams, and clients to support queries on test data and releases, and to maintain client confidence through clear, professional communication.\n\nInfluence engineers, data analysts, and leadership to adopt a test-first mindset and own the quality of their products, and hold a firm line on quality standards.\n\nReport on test progress, quality trends, and risks to technical and non-technical stakeholders, and raise delivery risks and blockers early.\n\nMaintain documentation of quality standards, test coverage, and decisions, with transparency on known issues and risks.\n\nAct as the subject matter expert on data testing and data quality practices, including data quality checks (completeness, accuracy, consistency, uniqueness, validity, timeliness).\n\nWhat you’ll bring\nProven QA and testing experience: Strong knowledge of QA strategies, processes and methodologies, including defining and executing test plans, test cases and test scripts for complex software applications.\n\nAgile, test-first delivery: Experience in cross-functional Agile teams with a test-first mindset, managing priorities, scope and risk to maximise testing impact across distributed engineering organisations.\n\nData testing and SQL: Working knowledge of data testing methods (data quality checks, schema validation, transformation testing, ETL/migration testing), plus SQL proficiency for querying and profiling large datasets to diagnose quality issues.\n\nQuality metrics and reporting: Experience building quality metrics, dashboards and reporting for both technical and non-technical stakeholders.\n\nCollaboration and communication: Strong stakeholder management and verbal and written communication skills, working with development, product and client teams at all levels of management, including client engagement.\n\nInfluence and coaching: Ability to influence and negotiate across engineering, product and leadership, hold a firm line on quality standards, and coach engineers and product managers to own the quality of their products.\n\nClient Delivery: experience working directly with client teams to define and report quality metrics, and to introduce quality improvement plans.\n\nNice to have: Test automation framework experience; defining quality gates in CI/CD or release pipelines; AI tools for identifying and fixing data issues; data testing and observability tooling; familiarity with data governance, data contracts and GDPR; and Python and visualisation tools (e.g. Power BI, Looker).\n\nOur Values\nFive values guide how we work at Kaluza:\nPlay to win: Collective pride in decarbonising energy at scale.\n\nSolve the real problem: Cutting through complexity to focus on real-world outcomes.\n\nBuild trust every day: Consistency, transparency and doing what we say.\n\nOwn the outcome: Full accountability, wins and setbacks, without ego.\n\nGo further together: Collaboration, respect and different perspectives.\n\nOur Perks\nTime off and family: 26 days’ holiday, plus 26 weeks’ full pay for new parents with no qualifying service period\n\nHealth and security: Private medical insurance with virtual GP, life assurance, pension scheme, free mortgage advice and eye tests\n\nPay and flexibility: Discretionary bonus, a Flex Fund of 5% [of salary] to spend on the benefits you want most, retail discounts through Perks at Work\n\nGrowth and setup: Personal learning budget, home office budget\n\nClimate: Furthr, our climate action app\n\nCome as you are\nWe want to meet people from all walks of life. The more inclusive we are, the better our work will be, and we recognise talent on merit and potential. If you’re excited about the role but don’t tick every box, we’d still love to hear from you.\nFind out more on ourcareers page andLinkedIn. 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