Data Engineer
About us
Kitman Labs is active in the performance intelligence sector, disrupting and transforming the way the sports industry utilizes data to unlock the potential of the world’s top athletes. With a focus on innovation in sports performance, analytics, and user experience, Kitman Labs has built a team of leading data scientists and engineers, providing advanced solutions to over 2000 teams across 50 leagues globally.
Job description
As a Data Engineer, you will join our team to help build and evolve our data platform. You will work across analytics engineering, data pipelines, and data quality, collaborating closely with engineers, data scientists, and product teams to transform raw data into reliable and scalable foundations. Your contributions will be vital in supporting the performance intelligence of the sports industry.
- 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
- 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
- Support Data Scientists in moving work from notebook to production pipeline
Benefits
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 working
Skills required for the job