{"id":1710132,"url":"https://alion.io/job/two-circles-data-engineer","title":"Data Engineer","company":{"id":47931,"name":"Two Circles","domain":"twocircles.com","url":"https://alion.io/company/two-circles","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":83,"open_postings":6,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","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":73000,"max_usd":169000,"period":"year","method":"role_country_seniority_unknown","sample_n":116},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-02T16:57:49Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-06T00:37:16Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"We are Two Circles. We are a Sports & Entertainment Marketing business. We grow audiences and revenues. We do that by knowing fans best. We work with clients to help them understand & influence what their fans are doing - the way fans spend their money, the events that fans attend, the channels fans respond to, the content fans watch and more. And we use the understanding this gives us to help our clients grow. Grow their audiences and grow their revenues - both direct to consumer and business to business revenues. Our platforms and services are trusted by over 1000 clients globally, including the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike and Amazon. We are over 1000 people, based out of 15 offices, and we deliver work for sports and entertainment businesses of all shapes and sizes all over the world.\nWe're looking for a Data Engineer with strong, hands-on Databricks expertise to join our squad of >50 Data & BI Engineers, working on our Fan Intelligence Platform. Databricks is a core focus for this role - it's an area where we're looking to deepen the team's collective expertise. Our team is also embracing AI-assisted development as a way of supercharging how we build, and you'll be surrounded by engineers who are pushing this forward - so an openness to learning and evolving how you work is just as important as the technical experience you bring. The data platform itself is growing fast, with an exciting suite of products being built on top of it - meaning real scope to shape its direction, not just maintain what's there. If you're passionate about data engineering, enjoy collaborating in a fast-paced environment, and want to make an impact in the sports industry, we'd love to hear from you!\nResponsibilities\nYour role will be varied and evolve as quickly as you can learn and develop. Your initial duties will involve:\nDesign, build, and optimise scalable data pipelines on Databricks - Delta Lake, Unity Catalog, Spark/PySpark - as the primary platform for this role.\nWrite clean, maintainable, object-oriented Python - solid class design, testable code, and adherence to good engineering practice.\nWork within an Agile team - sprint planning, stand-ups, retros - estimating and delivering incremental value.\nCollaborate closely with product and marketing teams to deliver data-driven insights and solutions that provide high business value.\nExtend into the wider Azure data platform (ADF, Function Apps) and CI/CD practices as you grow in the role.\nWhat success looks like\nSix to twelve months in, you'll be actively improving our Databricks platform - not just maintaining it, but bringing forward-thinking modernisation improvements that help the team get more out of it.\nRequirements\nRequirements\nDatabricks - strong, hands-on production experience: Delta Lake, Unity Catalog, PySpark/Spark SQL, performance tuning. This is the depth we most need in the team right now.\nObject-oriented Python - solid foundation in class design, best practices, and writing testable, maintainable code.\n Aptitude for AI-assisted development - you don't need existing mastery of tools like Copilot or Claude Code, but you do need to be genuinely coachable and excited to adopt this way of working, since you'll be learning it directly from a mentor who lives it day to day.\nStrong SQL for querying and managing data\nExperience in a data lakehouse environment\nAzure (ADF, Function Apps) alongside Databricks\nCI/CD pipelines (Azure DevOps or similar)\nNice to have:\nDatabricks Certified Data Engineer Professional (or working towards it)\nWhile the above are important, we believe attitude and ability to learn are the biggest predictors of success in this team. If you're missing some of the experience above but this sounds like you, we'd love to hear from you.\nA genuinely coachable mindset, with a real desire to learn from a mentor\nStrong teamwork skills and a collaborative approach\nA proactive attitude with a passion for continuous learning and growth\nHigh attention to detail and commitment to quality\nComfortable in a fast-paced, Agile environment - able to estimate and deliver incremental value\nBenefits\nSummer away days\n23 standard days of holiday (+1 Birthday, +2 for a big life event and +1 for Admin Day) closure of office for Christmas (Plus bank holidays)\nDiscretionary bonus on company performance\nPerformance reviews every 6 months with discretionary salary increases\nPrivate Healthcare (Vitality) or Medicash scheme\nMobile phone contribution \nSport challenge contribution\nGym membership contribution\n1x Annual kit drops","description_format":"text","description_chars":4572,"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":["Continuous learning","Gym membership"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-02T16:57:49Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-03T21:09:13+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":29,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-05T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/two-circles-data-engineer","json_url":"https://alion.io/job/two-circles-data-engineer.json","meta":{"generated_at":"2026-10-06T02:00:57Z","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":3004,"day_limit":5000,"remaining_today":1996,"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":47931},"rest":"https://alion.io/mcp/rest/get_company?id=47931"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftwo-circles-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%2Ftwo-circles-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%2Ftwo-circles-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/two-circles-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftwo-circles-data-engineer"}]}