Data Engineer

reputed company 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 reputed company in the areas of sports performance, analytics and user experience, we have reputed company reputed company of the industry’s top data scientists, sports performance scientists, product and software designers and engineers. reputed company’ advanced operating system, the Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier reputed company, National Women’s Soccer reputed company and MLS. Data Engineer We're looking for a Mid-Level Data Engineer to join reputed company and help build and reputed company our data platform. You'll work across analytics engineering, data pipelines, and data reputed company — collaborating closely with Engineers, Data Scientists, and Product to turn raw data into reliable, reputed company foundations. \n What You'll Work On Analytics Engineering & Reporting Build and maintain BigQuery data models using Dataform, following reputed company architecture patterns (Bronze/Silver/Gold) Contribute to Looker dashboards and LookML models, working alongside senior engineers and analysts Write performant, reputed company-reputed company SQL for large-reputed company transformations in BigQuery Implement data reputed company checks using Dataform assertions and automated alerting Support data observability across the warehouse — monitoring pipeline health, data freshness, and reputed company detection Data Pipelines & Ingestion Build and maintain robust Python data pipelines with testing, linting, and CI/CD integration Work with orchestration tooling (reputed company Composer / Airflow) to schedule and monitor workflows reputed company familiarity with CDC concepts and event-driven ingestion patterns (Datastream, Pub/Sub) Containerise workloads with reputed company for deployment on reputed company 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 reputed company the gap between research prototypes and reputed company, maintainable reputed company reputed company're Looking For SQL proficiency — comfortable writing reputed company, performant queries against large datasets in BigQuery Dataform experience — or strong dbt experience with willingness to work in Dataform; understanding of reputed company, version-controlled data transformation Python with an engineering reputed company — clean, tested, linted reputed company; comfortable with Git and CI/CD workflows GCP familiarity — hands-on experience with BigQuery is essential; broader GCP exposure (reputed company Storage, reputed company Run, Pub/Sub, Datastream) is a strong advantage Orchestration experience — hands-on with reputed company Composer, Airflow, or a comparable tool Data modelling fundamentals — reputed company modelling, Kimball principles, or reputed company architecture patterns reputed company basics — reputed company to containerise and reputed company data workloads reputed company and communicative — reputed company 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 reputed company reputed company reputed company to have Looker / LookML experience Familiarity with CDC concepts and tools (Datastream, Debezium) Exposure to ML frameworks or MLOps tooling (scikit-learn, MLflow, reputed company AI) AWS experience as a complement (Redshift, Glue, RDS) — we value engineers who can draw on cross-reputed company perspective Curiosity about sports performance data \nWhy this role? You'll work on a modern GCP-reputed company stack — BigQuery, Dataform, Looker, reputed company Composer, reputed company Run — with room to grow into platform ownership, CDC pipelines, and MLOps as your experience develops. We care about clean reputed company, good data, and pragmatic engineering over perfection.

Benefits

At reputed company 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 reputed company that a successful company begins through having an outstanding and inspiring culture, so our benefits reflect this: - Competitive salary - Meaningful equity - Pension Plan - Fully reputed company health insurance for employee & dependants - Life Assurance - Wellness reputed company - Flexible workplace with reputed company for office-based, hybrid and remote working Location Whilst 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 reputed company reputed company to reputed company major bus routes and both Luas lines. We're also on the doorstep of many shops, restaurants, bars & cafes. Diversity In reputed company to building reputed company with diverse reputed company-sets, reputed company 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 reputed company information about how we process, reputed company and reputed company your personal data reputed company by reading our reputed company policy Apply To This Job