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. ➡ Data Engineer ➡ Analytics Engineering & Reporting Build and maintain BigQuery data models using Dataform following medallion architecture patterns (Bronze/Silver/Gold) Contribute to Looker dashboards and LookML models working alongside senior engineers and analysts Write performant well-structured SQL for large-scale transformations in BigQuery Implement data quality checks using Dataform assertions and automated alerting Support data observability across the warehouse — monitoring pipeline health data freshness and anomaly detection Data Pipelines & Ingestion Build and maintain robust Python data pipelines with testing linting and CI/CD integration Work with orchestration tooling (Cloud Composer / Airflow) to schedule and monitor workflows Develop familiarity with CDC concepts and event-driven ingestion patterns (Datastream Pub/Sub) Containerise workloads with Docker for deployment on Cloud Run or similar GCP services Data Science Collaboration Support Data Scientists in moving work from notebook to production pipeline Contribute to feature pipelines and data preparation for ML workloads Help bridge the gap between research prototypes and scalable maintainable code What You'll Work On ➡ SQL proficiency — comfortable writing complex performant queries against large datasets in BigQuery Dataform experience — or strong dbt experience with willingness to work in Dataform understanding of modular version-controlled data transformation Python with an engineering mindset — clean tested linted code comfortable with Git and CI/CD workflows GCP familiarity — hands-on experience with BigQuery is essential broader GCP exposure (Cloud Storage Cloud Run Pub/Sub Datastream) is a strong advantage Orchestration experience — hands-on with Cloud Composer Airflow or a comparable tool Data modelling fundamentals — dimensional modelling Kimball principles or medallion architecture patterns Docker basics — able to containerise and deploy data workloads Collaborative and communicative — able to translate business requirements into data models and work effectively with Analytics Product and Data Science stakeholders Pragmatic approach to AI tooling — comfortable using AI-assisted development to improve productivity and code quality What We're Looking For ➡ Looker / LookML experience Familiarity with CDC concepts and tools (Datastream Debezium) Exposure to ML frameworks or MLOps tooling (scikit-learn MLflow Vertex AI) AWS experience as a complement (Redshift Glue RDS) — we value engineers who can draw on cross-cloud perspective Curiosity about sports performance data ➡ 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.BenefitsAt 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 salary- Meaningful equity- Pension Plan- Fully paid health insurance for employee & dependants - Life Assurance - Wellness Perk- Flexible 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. DiversityIn addition to building a team with diverse skill-sets Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age civil or family status disability ethnicity gender race religion or sexual orientation. If you are a person with a disability and require assistance during the application process please let us know. You can find information about how we process share and keep your personal data safe by reading our privacy policy