{"id":2031548,"url":"https://alion.io/job/antaresglobal-developer","title":"Developer","company":{"id":3909815,"name":"Antaresglobal","domain":"antaresglobal.com","url":"https://alion.io/company/antaresglobal","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","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":69000,"max_usd":156000,"period":"year","method":"role_country_seniority_unknown","sample_n":138},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"GDPR","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-21T00:00:00Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-10-14T11:43:16Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"At Antares, our success starts with our people. We’re a collaborative and an inclusive organisation where every voice is valued, and every individual can grow and thrive.\nWe combine deep expertise with a supportive culture to deliver outstanding results for our clients and a fulfilling experience for our colleagues.\nWhatever stage of your career you'll find a place to belong, contribute, develop and we’d love to hear from you.\nRole:\nThe BI Developer / Data Engineer will support the delivery and ongoing development of the Enterprise Data Platform and wider BI estate. The role will involve building reliable, scalable data solutions across SQL Server, Microsoft BI, Azure Data Factory, API integrations, Microsoft Fabric and modern data engineering technologies.\nThe role requires a hands-on, delivery-focused individual who can work across established BI platforms and newer cloud-based data services, while applying good engineering, testing, governance and deployment practices.\nKey Aspects of the role:\nWork with business users and the BI team to deliver BI, DWH and EDP solutions that meet business needs. \nBuild and enhance ETL/ELT processes using SQL Server, SSIS, Azure Data Factory and related cloud services. \nSupport API-based integrations, with Workday integration experience considered good to have. \nContribute to data snapshotting, Parquet-based storage and Fabric/lakehouse development where required. \nApply good engineering practices, including source control, testing, peer review, monitoring and controlled deployments. \nIdentify, investigate and resolve data quality, pipeline and reporting issues in a timely manner. \nPrevious experience working with finance and/or insurance data, with a good understanding of how data is sourced, prepared, integrated, governed and consumed across finance platforms, data warehouses, reporting solutions and downstream business processes. \nKey Accountabilities\nAccountabilities\nKey Performance Indicators\nSupport the delivery of agreed DWH, EDP and BI development work in line with existing standards and priorities. \nAssigned development tasks are delivered to agreed quality, timelines and release standards. \nDesign and develop semantic models, reports, dashboards and visualisations. \nSolutions are unit tested, system tested and aligned to agreed reporting standards. \nDevelop expert SQL, database objects, Python and pipeline logic for data ingestion, transformation and business data processing. \nCode is peer reviewed, unit tested and system tested before release. \nDesign changes in line with business requirements, technical standards and agreed delivery priorities. \nDesigns are delivered to agreed standards and timescales, with peer review completed where required. \nDevelop and enhance ETL/ELT components across SQL Server, SSIS, ADF and Fabric where appropriate. \nETL/ELT components are tested, documented and deployed through agreed release processes. \nCarry out data analysis to support new solution designs and data quality improvements. \nAnalysis outputs support design, development, reconciliation and decision-making. \nTakes responsibility for their own and colleagues’ Health & Safety at all times \nStatutory, personal and Company Health & Safety policy regulations are adhered to. \nTo ensure customers are treated fairly at all times, in accordance with the Conduct Risk Policy and other relevant policies and procedures. \nCompliance with applicable Regulatory Requirements and Lloyd’s Minimum Standards (where applicable) and Antares Global policies and procedures \nSatisfactory performance as reflected in relevant Conduct Risk \nTo be aware and adhere to all obligations under GDPR, ensuring that the business complies with these requirements. \nAdherence to Antares Global policies and procedures in relation to GDPR \nTo avoid breaches and to report them to the Data Protection Officer when they occur, regardless of media. \nTimely completion of ongoing training in relation to GDPR","description_format":"text","description_chars":3969,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Brewing & Beer","Property & Casualty Insurance"],"lifecycle":[{"event":"open","at":"2026-10-07T14:29:45Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long 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