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Data Engineer

External
kitmanlabs logoKitmanlabs · Dublin, Ireland
Full-timeRemote1d ago
BigQueryGCPLookerMLOpsSAFe
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Benefits

At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also dedicated to keeping the best through building a world-class work culture.We truly believe that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this:Competitive salaryMeaningful equityPension PlanFully paid health insurance for employee & dependantsLife AssuranceWellness PerkFlexible workplace with options for office-based, hybrid and remote workingLocationWhilst remote, you can work from our Dublin office, which is located in the impressive CHQ Building, a 2 minute walk from Connolly train station, and very close to all major bus routes and both Luas lines. We're also on the doorstep of many shops, restaurants, bars & cafes.DiversityYou can find information about how we process, share and keep your personal data safe by reading our privacy policy

Additional Information

Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance scientists, product and software designers and engineers. Kitman Labs' advanced operating system, the Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women's Soccer League and MLS. Data Engineer We'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. Why this role? You'll work on a modern GCP-native stack - BigQuery, Dataform, Looker, Cloud Composer, Cloud Run - with room to grow into platform ownership, CDC pipelines, and MLOps as your experience develops. We care about clean code, good data, and pragmatic engineering over perfection.

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