{"id":1818266,"url":"https://alion.io/job/collinson-lead-data-analytics-engineer","title":"Lead Data Analytics Engineer","company":{"id":1593,"name":"Collinson","domain":"collinsongroup.com","url":"https://alion.io/company/collinson","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":20,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-06T05:45:30Z"}},"role":"Data Science","role_family":"Data Science","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"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":181000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":24},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-10-04T03:06:48Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-10-06T17:01:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Description\nThe Role\nThe Lead Data Analytics Engineer is a senior technical leadership role responsible for advancing Enterprise Data Modelling, Analytics Automation and Engineering Empowerment across Global Analytics. Working directly with the Head of Analytics Engineering, the role translates the Analytics Engineering strategy into technical direction, reusable capabilities and modern engineering practices. The role enables squads to independently deliver trusted, scalable Data Products while maintaining enterprise consistency and engineering excellence.\nKey Responsibilities\nLead the enterprise approach to analytical data modelling, including domain models, dimensional models and semantic layers.\nEstablish reusable modelling patterns and common business entities that create consistency across Data Products.\nReduce duplication and improve the performance, scalability and maintainability of analytical models.\nProvide technical leadership for complex and cross-domain modelling challenges.\nLead the Analytics Automation agenda, transforming how analytics is developed, tested, deployed, documented and monitored.\nApply Snowflake Cortex, LLMs, intelligent agents and automation to improve engineering productivity and quality.\nBuild reusable automation capabilities and accelerators rather than one-off solutions.\nIdentify and industrialise emerging technologies that materially improve Analytics Engineering.\nCreate frameworks, tools, templates and reusable components that enable squads to deliver independently and faster.\nImprove developer experience and simplify the journey from development to production.\nRemove recurring technical bottlenecks through self-service and reusable engineering capabilities.\nEnable domain teams to build trusted Data Products within established engineering standards.\nAct as a senior technical authority for Analytics Engineering, providing direction on complex solutions and technical decisions.\nDrive engineering standards, modernisation, platform performance and reduction of technical debt.\nMentor engineers and raise technical capability through communities of practice and knowledge sharing.\nPartner with the Head of Analytics Engineering to shape the technical roadmap and future engineering capability.\nSuccess measure (Data Modelling): greater reuse and consistency of enterprise models with reduced duplication.\nSuccess measure (Automation): measurable reduction in manual engineering effort and improved delivery velocity.\nSuccess measure (Empowerment): squads increasingly able to independently build and operate trusted Data Products.\nSuccess measure (Engineering Excellence): improved reliability, performance, cost efficiency and overall engineering maturity.\nSuccess measure (Technical Leadership): recognised as the technical lead who drives delivery through hands-on contribution, accelerates engineering outcomes, and enables teams by building reusable capabilities rather than relying solely on governance or oversight.\nSuccess measure (Innovation): successful delivery and adoption of AI-powered engineering capabilities, automation frameworks, and modern engineering practices that create measurable business value.\nKnowledge, Skills and Behaviours\nEssential\nKey technology areas: Snowflake, DBT, SQL, Python, Git/CI/CD, Semantic Layers, Data Contracts, Data Quality and Observability, Snowflake Cortex, LLMs and AI Agents, AWS.\nStrong hands-on Analytics Engineering/Data Engineering experience with deep expertise in data modelling, Snowflake, dbt and SQL.\nProven experience building automation, reusable engineering frameworks and scalable analytical architectures.\nStrong technical leadership experience, including influencing multiple teams, solving complex engineering challenges and mentoring senior engineers.\nExperience applying GenAI, LLMs, AI agents or Snowflake Cortex to engineering automation.\nA hands-on, outcome-driven engineering leader who leads from the front by designing, building and delivering solutions.\nAn individual contributor mindset: equally comfortable defining strategy and implementing it through working code, prototypes and production-ready solutions.\nDesirable\nPython and modern data observability/lineage experience.\nExperience enabling self-service engineering across distributed analytics teams.\nReward & Benefits: What's in it for me?\nWe want our people to feel recognised, supported and able to thrive both at work and beyond it.\nWe offer a competitive reward package designed to support your financial, physical and mental wellbeing, alongside opportunities to learn, develop and be recognised for the contribution you make. Benefits vary by role and location, and full details will be shared as part of the application process.\nEqual opportunities: Our commitment to inclusion\nCollinson Group is an equal opportunities employer. We welcome applications from people of all backgrounds, identities and experiences, and believe that different perspectives make our business stronger.","description_format":"text","description_chars":4995,"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":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Loyalty Programs","Property & Casualty Insurance","Business Travel"],"lifecycle":[{"event":"open","at":"2026-10-04T03:06:48Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":2,"expected_fill_days":30,"reasons":["conf:4","stale_co","velocity","win:early"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/collinson-lead-data-analytics-engineer","json_url":"https://alion.io/job/collinson-lead-data-analytics-engineer.json","meta":{"generated_at":"2026-10-06T21:53:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1832,"day_limit":5000,"remaining_today":3168,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1593},"rest":"https://alion.io/mcp/rest/get_company?id=1593"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcollinson-lead-data-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcollinson-lead-data-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcollinson-lead-data-analytics-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/collinson-lead-data-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcollinson-lead-data-analytics-engineer"}]}