{"id":441255,"url":"https://alion.io/job/alpha-fmc-data-engineer-databricks-snowflake","title":"Data Engineer (Databricks / Snowflake)","company":{"id":172063,"name":"Alpha FMC","domain":"alphafmc.com","url":"https://alion.io/company/alpha-fmc","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":55,"ghost_share":0.273,"stale_share":0,"repost_share":0.036,"time_to_fill_p50_days":105,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","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":null,"salary_estimate":{"min_usd":56000,"max_usd":108000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"GCP","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-09T15:25:18Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-31T06:53:06Z","board_verified":true,"closed_at":null,"days_open":113,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":113},"description":"Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. We are a boutique management consulting firm that offers the world’s top industry players a competitive edge through our expertise and industry insight. Our team is of a uniquely high calibre and works across regulated financial markets, bringing deep expertise in insurance, alternative asset markets - including private equity, private credit, infrastructure and real estate - and other specialised financial sectors. This focus enables us to bring relevant, hands-on experience to our clients’ most important challenges. We have our headquarters located the United Kingdom, as well as offices in major global financial centres across the United States, France, Netherlands, Luxembourg, Switzerland, and Asia.\nAbout the role\nWe’re looking for a Data Engineer with 2+ years’ experience to join our growing data engineering capability. This role is focused on client delivery. You’ll work closely with client teams, alongside their internal engineers and Alpha consultants, to build and support modern data platforms in regulated financial services environments. The work is hands-on and delivery-focused: building pipelines, developing data models, and helping turn business requirements into trusted, production-ready data solutions.\nThis is a strong opportunity for an engineer who wants more than just pipeline delivery. You’ll work directly with clients, solve real platform and data problems, and build experience across a range of delivery challenges in complex regulated environments.\nWhat you'll do\nBuild reliable ingestion pipelines that move client data from source systems into the platform efficiently and securely\nDevelop data pipelines to agreed SLAs, with a focus on reliability in production\nWork with domain SMEs and delivery teams to translate business logic into pipeline logic that produces accurate, trusted outputs Senior Data Engineer.docx\nDesign data models, including Data Vault 2.0 and Kimball dimensional models, that support auditability and trusted reporting\nSupport testing, monitoring, troubleshooting, and documentation across the delivery lifecycle\nContribute to engineering standards and delivery best practices as part of a wider team\nWork with the team to implement LLM-based processing in pipelines where appropriate, alongside deterministic logic\nWork on delivery teams building AI-enabled solutions on the platform, helping to apply trusted data to real client problems\nShare learnings from delivery work and contribute to internal assets, tooling, and practices over time.\nWhat you'll bring\n2+ years in data engineering, including production experience with Databricks or Snowflake (one platform is sufficient)\nStrong SQL and Python; comfort with PySpark or Snowpark\nExperience with at least one cloud vendor, Azure, AWS, or GCP, including familiarity with core services beyond the data platform itself (networking, IAM, storage)\nWorking knowledge of dimensional modelling (Kimball) and/or Data Vault 2.0\nStrong attention to quality, documentation, and delivery discipline\nAdditional experience we’d value\nSnowflake or Databricks certifications\nFamiliarity with private markets data (fund administration, private equity/real estate, secondaries) or London Market insurance\nExperience with some supporting tooling across areas such as infrastructure-as-code, transformation, DevOps, data quality, governance, or orchestration would be beneficial.\nExposure to regulated environments such as financial services, insurance, or similarly audited sectors would be beneficial.\nWhat the engagement looks like\nYou'll work within client teams, alongside their internal engineers and Alpha consultants in a regulated environment where change control, data lineage and documentation matter. Expect a mix of independent build work and collaborative delivery, with regular touchpoints against a delivery plan.\nWhat We Offer\nCompetitive base salary \nAnnual performance bonus tied to individual and company outcomes.\nComprehensive benefits package including private medical insurance, life assurance, and income protection.\nHybrid working model with flexible arrangements to support work-life balance.\nGenerous pension scheme with enhanced employer contributions.\nContinuous learning budget and access to industry conferences, certifications, and training programmes.\n25 days annual leave plus bank holidays, with option to buy additional days.\nEmployee assistance programme and wellbeing support.","description_format":"text","description_chars":4533,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Continuous learning","Equity","Health insurance","Hybrid work"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-09-06T07:25:25Z"}],"visa":[],"liveness":{"score":32,"band":"fade","label":"Fading","p_open":1,"p_active":0.724,"p_room":0.44,"age_days":113,"expected_fill_days":105,"reasons":["conf:3","win:tail","crowd:junior"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/alpha-fmc-data-engineer-databricks-snowflake","json_url":"https://alion.io/job/alpha-fmc-data-engineer-databricks-snowflake.json","meta":{"generated_at":"2026-10-31T09:20:11Z","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":14101,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"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":172063},"rest":"https://alion.io/mcp/rest/get_company?id=172063"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Falpha-fmc-data-engineer-databricks-snowflake"},{"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%2Falpha-fmc-data-engineer-databricks-snowflake"},{"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%2Falpha-fmc-data-engineer-databricks-snowflake"},{"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/alpha-fmc-data-engineer-databricks-snowflake\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Falpha-fmc-data-engineer-databricks-snowflake"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":441255}},{"tool":"search_jobs","arguments":{"company":"alphafmc.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":441255},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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