{"id":1483563,"url":"https://alion.io/job/salt-sql-analytics-engineer-ai-enabled-databricks-software","title":"SQL Analytics Engineer (AI-Enabled, Databricks) – Software","company":{"id":1935342,"name":"Salt","domain":"welovesalt.com","url":"https://alion.io/company/welovesalt","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"C","score":64,"open_postings":1440,"ghost_share":0.603,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"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":{"min":350,"max":450,"currency":"GBP","period":"day","gross":null,"usd_annual":148750},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false},{"name":"Hadoop","optional":true},{"name":"MS SQL","optional":true},{"name":"Outlook","optional":true},{"name":"Python","optional":true},{"name":"SharePoint","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-09-29T22:22:26Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":26},"description":"Back to all jobs\nSQL Analytics Engineer (AI-Enabled, Databricks) - Software\nRef: JO-2609-363259\nUnited Kingdom, London \n\nData, AI and Machine Learning, Technology \n\nIT \n\n250 - 999 Employees \n\n£350.00 - £450.00 per day \n\nEnvironment:\n\nHybrid \n\nContract Type:\n\nContract \n\nStarts:\n\nASAP \n\nDuration:\n\n12 months \n\nApply Report issue\nSQL Analytics Engineer (AI-Enabled, Databricks) - Software - London or Reading\nDaily rate: £350 - £450\nDuration: 12 months\nStart: ASAP\nMy client is looking for an Analytics Engineer to join a global analytics team supporting critical post-sales reporting, data insights, and business intelligence initiatives. This is a hands-on contract opportunity for a technically strong data professional who enjoys solving complex data challenges, improving reporting capabilities, and using AI-assisted development tools to accelerate delivery while maintaining high standards of quality and accuracy.\nYou’ll play a key role in enhancing existing analytics solutions, troubleshooting data issues, optimizing performance, and identifying opportunities to improve the efficiency of the wider data environment. The ideal candidate combines advanced SQL expertise with strong analytical thinking and a proactive approach to problem-solving.\nKey Responsibilities\nDesign, develop, and enhance analytics and reporting solutions across a large-scale data environment.\nDeliver incremental improvements to existing datasets, reports, dashboards, and data workflows.\nInvestigate data issues, performance bottlenecks, and process inefficiencies.\nWork closely with senior engineers to troubleshoot, prioritise, and resolve technical challenges.\nOptimise SQL queries and data processes to improve performance, scalability, and reliability.\nLeverage AI-assisted development tools to accelerate coding, testing, documentation, and analysis activities.\nValidate and challenge AI-generated outputs to ensure technical accuracy and business relevance.\nAssess existing data architecture and propose improvements to performance, maintainability, and cost efficiency.\nCollaborate with stakeholders across global teams to gather requirements and deliver effective solutions.\nProvide regular progress updates and manage workload independently within a flexible hybrid working environment.\nRequired Skills & Experience\nStrong commercial experience in Data Analytics, Analytics Engineering, or Data Engineering.\nAdvanced SQL skills with the ability to write, optimise, and troubleshoot complex queries.\nExperience working with enterprise-scale data platforms and analytics environments.\nStrong problem-solving skills and the ability to work autonomously.\nExperience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar technologies.\nProven ability to validate, test, and improve AI-generated code and recommendations.\nExcellent stakeholder communication and collaboration skills.\nDesirable Experience\nPython programming experience.\nDatabricks experience.\nExperience with platforms such as Snowflake, Hadoop, Microsoft SQL Server, or similar enterprise data technologies.\nExposure to data architecture, infrastructure optimisation, and performance tuning.\nExperience within the Microsoft ecosystem, including Teams, Outlook, and SharePoint integrations.\nUnderstanding of regression testing and AI-assisted development best practices.\nWhat We’re Looking For\nWe’re particularly interested in candidates who:\nHave exceptional SQL expertise.\nCan quickly understand complex datasets and business processes.\nDemonstrate strong critical thinking and engineering judgement.\nAre comfortable working independently with minimal supervision.\nCan effectively leverage AI tools while maintaining ownership and accountability for outcomes.\nEnjoy identifying opportunities to improve systems, processes, and reporting capabilities.\nThrive in collaborative, globally distributed teams.\n*Rates depend on experience and client requirements\nApply Report issue\n\nShare:","description_format":"text","description_chars":3986,"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":["Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-29T21:51:31Z"}],"liveness":{"score":22,"band":"cold","label":"Long shot","p_open":1,"p_active":0.289,"p_room":0.75,"age_days":26,"expected_fill_days":30,"reasons":["conf:7","agency","stale_co","urgency","win:late","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":148750,"is_top_pay":false},"html_url":"https://alion.io/job/salt-sql-analytics-engineer-ai-enabled-databricks-software","json_url":"https://alion.io/job/salt-sql-analytics-engineer-ai-enabled-databricks-software.json","meta":{"generated_at":"2026-10-01T04:25:04Z","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":3724,"day_limit":5000,"remaining_today":1276,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}