{"id":1233721,"url":"https://alion.io/job/symphoni-hr-senior-qa-data-engineer","title":"Senior QA Data Engineer","company":{"id":3800108,"name":"Symphoni HR","domain":"symphonihr.com","url":"https://alion.io/company/symphoni-hr","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"QA","role_family":"QA","seniority":"senior","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"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":58000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":599},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Great Expectations","optional":false},{"name":"Informatica","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"SAP BusinessObjects","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-28T01:05:30Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"We are seeking a Senior QA Data Engineer to join a dynamic team in London. In this hybrid role, you will design and implement robust test automation solutions for complex data pipelines and BI systems. You will play a critical role in ensuring the quality, reliability, and performance of data-driven applications throughout the software development lifecycle.\nOur client is a leading global financial services institution with a strong presence in the banking sector. They are committed to leveraging cutting-edge technology to drive innovation and maintain excellence in their data-driven operations. The organization fosters a collaborative, high-performance culture that values technical expertise and continuous professional growth.\nResponsibilities\nPlan, design, and execute comprehensive testing strategies for new features and system enhancements.\nDevelop and maintain automated test cases to ensure thorough coverage across data pipelines.\nChampion test automation best practices to support continuous delivery and scalable solutions.\nExecute functional and non-functional test scenarios to validate system performance and reliability.\nIdentify, analyze, and troubleshoot critical defects, performing root cause analysis in collaboration with development teams.\nProduce detailed defect reports to support efficient remediation and quality assurance.\nCommunicate testing progress, risks, and quality insights to both technical and non-technical stakeholders.\nMentor junior QA engineers and conduct code reviews to promote high standards of automation.\nRequirements\n6-8 years of experience in data quality assurance and test automation.\nExtensive experience validating data pipelines in Azure Data Factory and Azure Databricks.\nAdvanced proficiency in Python (PyTest, PySpark, Pandas) or C# for building automated validation frameworks.\nStrong SQL skills for validating complex business rules and data transformations.\nExperience testing BI solutions including Power BI, SAP Business Objects, and Crystal Reports.\nProven ability to integrate automated tests into CI/CD pipelines using Azure DevOps.\nExperience with traditional ETL tools such as Informatica and SSIS.\nFamiliarity with modern data validation tools like Great Expectations and DataDiffPy.","description_format":"text","description_chars":2259,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T15:42:28Z"}],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.527,"p_room":1,"age_days":16,"expected_fill_days":48,"reasons":["conf:0","agency","velocity","win:early","comp:brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/symphoni-hr-senior-qa-data-engineer","json_url":"https://alion.io/job/symphoni-hr-senior-qa-data-engineer.json","meta":{"generated_at":"2026-09-28T04:58:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3269,"day_limit":5000,"remaining_today":1731,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}