{"id":2930323,"url":"https://alion.io/job/keyloop-senior-manager-data-engineering","title":"Senior Manager, Data Engineering","company":{"id":7846,"name":"Keyloop","domain":"keyloop.com","url":"https://alion.io/company/keyloop","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":88,"open_postings":12,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":53,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reading, United Kingdom","Poland"],"countries":["GB","PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":165000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":37},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"FinOps","optional":false},{"name":"Least Privilege","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T08:00:44Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-29T15:18:40Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"Purpose of the role\nJoin us to build a world-class data and analytics platform that will reshape automotive retail. You’ll lead the engineering discipline that powers our data lake, warehouse, real-time clickstream, and applied AI-turning large-scale data into trusted, high-impact products our customers use every day\nWhat you’ll lead:\nData Platform Engineering Team - Own our AWS-based datalake, warehouse and core data infrastructure, including security, reliability, cost efficiency and scalability.\nAnalytics Engineering Team - Drive data modelling, transformation and pipeline standards through the lake/warehouse to power governed, reusable semantic layers and metrics.\nClickstream Team - Operate and evolve our real-time event ingestion and processing to bring product telemetry and digital signals into the platform.\nKey outcomes & responsibilities:\nRun the function day-to-day. Plan, prioritise and deliver across the teams and ensure resilient operations\nSet platform direction. Support Data Architects and contribute to the modern data architecture on AWS across storage, compute, streaming, governance and cataloguing; align designs to the AWS Well-Architected Framework and the Data Analytics Lens. \nRaise engineering standards through Embed IaC, CI/CD for data, AI based development practices, MLOps, testing, observability, lineage and cost/FinOps; codify patterns for batch, streaming and ML. \n Deliver trustworthy data. Support the teams to establish modelling conventions (e.g., layer boundaries, naming, contracts), data quality SLAs, and a governed metrics layer consumable by our ThoughtSpot visualisation platform. \nSecurity, privacy & compliance. Champion least-privilege access, encryption, auditability and privacy-by-design across all datasets.\nPeople & performance. Lead managers and senior ICs; grow capability through coaching, clear career paths, hiring, and a high-performance, inclusive culture.\n Stakeholder leadership. Partner with Product, Platform, External 3rd Parties and Customer teams to convert business goals into a data roadmap, measurable outcomes and transparent delivery.\nWhat you’ll bring:\nProven leadership of multi-team data engineering organisations (platform, analytics engineering, streaming and ML/AI) in a product-led, cloud-native environment.\nData Architecture and operational expertise with AWS analytics services and modern data architecture (lake + warehouse + streaming under unified governance). \nStrong track record shipping reliable, cost-efficient pipelines at scale; credibility in SQL/Python and with at least one of dbt/Spark.\n\nProven experience using AI development tools to increase engineering efficiency\n\nMLOps experience: feature pipelines, automated testing, model versioning/registry, promotion workflows and post-production monitoring. \nExcellent people leadership: hiring, developing and performance-managing senior engineers; setting clear goals and creating psychological safety.\nEffective stakeholder management and communication-from architecture decisions to executive updates.\nNice to have: experience with ThoughtSpot, automotive or adjacent domains.","description_format":"text","description_chars":3134,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Automotive Software"],"lifecycle":[{"event":"open","at":"2026-10-20T14:31:13Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; 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