{"id":466103,"url":"https://alion.io/job/kitman-labs-data-engineer","title":"Data Engineer","company":{"id":179504,"name":"Kitman Labs","domain":"kitmanlabs.com","url":"https://alion.io/company/kitman-labs","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manchester, United Kingdom"],"countries":["GB"],"hiring_countries":["GB"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":148000,"period":"year","method":"role_seniority_country_cell","sample_n":15},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Looker","optional":false},{"name":"LookML","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"AWS","optional":true},{"name":"MLFlow","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-06-29T10:49:53Z","employer_posted_date":"2026-06-29","last_verified_at":"2026-10-24T19:27:49Z","board_verified":true,"closed_at":null,"days_open":117,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":116},"description":"Data Engineer\nWe're looking for a Mid-Level Data Engineer to join our team and help build and evolve our data platform. You'll work across analytics engineering, data pipelines, and data quality - collaborating closely with Engineers, Data Scientists, and Product to turn raw data into reliable, scalable foundations.\nWhat You'll Work On\nAnalytics Engineering & Reporting\nBuild and maintain BigQuery data models using Dataform, following medallion architecture patterns (Bronze/Silver/Gold)\n\nContribute to Looker dashboards and LookML models, working alongside senior engineers and analysts\n\nWrite performant, well-structured SQL for large-scale transformations in BigQuery\n\nImplement data quality checks using Dataform assertions and automated alerting\n\nSupport data observability across the warehouse - monitoring pipeline health, data freshness, and anomaly detection\n\nData Pipelines & Ingestion\nBuild and maintain robust Python data pipelines with testing, linting, and CI/CD integration\n\nWork with orchestration tooling (Cloud Composer / Airflow) to schedule and monitor workflows\n\nDevelop familiarity with CDC concepts and event-driven ingestion patterns (Datastream, Pub/Sub)\n\nContainerise workloads with Docker for deployment on Cloud Run or similar GCP services\n\nData Science Collaboration\nSupport Data Scientists in moving work from notebook to production pipeline\n\nContribute to feature pipelines and data preparation for ML workloads\n\nHelp bridge the gap between research prototypes and scalable, maintainable code\n\nWhat We're Looking For\nSQL proficiency - comfortable writing complex, performant queries against large datasets in BigQuery\n\nDataform experience - or strong dbt experience with willingness to work in Dataform; understanding of modular, version-controlled data transformation\n\nPython with an engineering mindset - clean, tested, linted code; comfortable with Git and CI/CD workflows\n\nGCP familiarity - hands-on experience with BigQuery is essential; broader GCP exposure (Cloud Storage, Cloud Run, Pub/Sub, Datastream) is a strong advantage\n\nOrchestration experience - hands-on with Cloud Composer, Airflow, or a comparable tool\n\nData modelling fundamentals - dimensional modelling, Kimball principles, or medallion architecture patterns\n\nDocker basics - able to containerise and deploy data workloads\n\nCollaborative and communicative - able to translate business requirements into data models and work effectively with Analytics, Product, and Data Science stakeholders\n\nPragmatic approach to AI tooling - comfortable using AI-assisted development to improve productivity and code quality\n\nNice to have\nLooker / LookML experience\n\nFamiliarity with CDC concepts and tools (Datastream, Debezium)\n\nExposure to ML frameworks or MLOps tooling (scikit-learn, MLflow, Vertex AI)\n\nAWS experience as a complement (Redshift, Glue, RDS) - we value engineers who can draw on cross-cloud perspective\n\nCuriosity about sports performance data","description_format":"text","description_chars":2954,"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":[],"lifecycle":[{"event":"open","at":"2026-09-06T12:15:41Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.397,"p_room":0.28,"age_days":116,"expected_fill_days":33,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/kitman-labs-data-engineer","json_url":"https://alion.io/job/kitman-labs-data-engineer.json","meta":{"generated_at":"2026-10-24T21:14:43Z","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_verified","counted_by":"address","units_charged":1,"used_today":31138,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":179504},"rest":"https://alion.io/mcp/rest/get_company?id=179504"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkitman-labs-data-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%2Fkitman-labs-data-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%2Fkitman-labs-data-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/kitman-labs-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkitman-labs-data-engineer"}]}