{"id":920596,"url":"https://alion.io/job/firstup-senior-data-engineer","title":"Senior Data Engineer (UK)","company":{"id":5280,"name":"Firstup","domain":"firstup.com","url":"https://alion.io/company/firstup","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":82000,"max_usd":155000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"StarRocks","optional":false},{"name":"Trino","optional":false},{"name":"Metabase","optional":true},{"name":"Ruby","optional":true},{"name":"Ruby on Rails","optional":true}],"status":"live","first_seen_at":"2026-09-14T19:53:59Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-01T02:55:39Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"The Senior Data Engineer will design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines. This role requires deep expertise in SQL, query acceleration, and applying GenAI to both engineering workflows and data/analytics interfaces. They will partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture.\nResponsibilities\nDesign, build, and maintain scalable data pipelines, warehouse models, and analytics solutions, balancing data quality, business value, and speed.\n\nBuild and maintain natural language interfaces to data and analytics, applying GenAI/LLM techniques to make data more accessible across the business.\n\nUse GenAI coding tools and practices in daily development to improve code quality, testing, and delivery speed.\n\nContinuously evaluate new technologies that could improve and scale the team's data platform and technology stack.\n\nEstablish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support.\n\nSupport production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams.\n\nDocument and maintain expertise in the technology stack and product domain, translating business needs into technical solutions with product management.\n\nMinimum Qualifications\nBachelor's degree in Computer Science or related field, or equivalent professional experience.\n\n8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines.\n\nExperience working with and maintaining multi-tenant SaaS experiences.\n\nExperience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics.\n\nEnterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino.\n\nExpertise writing, optimizing, and analyzing SQL.\n\nHands-on experience building and operating distributed data platforms on AWS or GCP.\n\nHands-on experience with streaming platforms such as Kafka and Spark.\n\nExperience scaling data modeling and warehousing.\n\nProficiency in python.\n\nPreferred Qualifications\nExperience with Cube or other semantic layers.\n\nExperience with scheduling tools such as Airflow.\n\nFamiliarity with the BI tool Metabase.\n\nProficiency in Ruby on Rails, React, or other adjacent languages.","description_format":"text","description_chars":2599,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Intranet & Knowledge Management"],"lifecycle":[{"event":"open","at":"2026-09-15T00:20:05Z"}],"liveness":{"score":82,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.821,"p_room":1,"age_days":16,"expected_fill_days":58,"reasons":["conf:2","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/firstup-senior-data-engineer","json_url":"https://alion.io/job/firstup-senior-data-engineer.json","meta":{"generated_at":"2026-10-01T13:00:34Z","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":4530,"day_limit":5000,"remaining_today":470,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}