Jobs · himalayas
Data Engineer
Vantage Compute · Ireland · Posted 14d ago
Available in 2 locations
Ireland · remote Apply → United Kingdom · remote Apply →About the role
Build and maintain data pipelines and analytics for sports performance at Vantage Compute.
Vantage Compute 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. Vantage Compute ’ 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. What You'll Work On 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 We're Looking For 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 Nice to have 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. Benefits At Vantage Compute 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 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 very close to all major bus routes and both Luas lines. We're also on the doorstep of many shops, restaurants, bars & cafes. Diversity In addition to building a team with diverse skill-sets, Vantage Compute 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 req
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FAQ
Is the Data Engineer role at Vantage Compute remote?+
This Data Engineer position is listed as remote (Ireland).
What is the salary for the Data Engineer role at Vantage Compute?+
The listing states 73000-101000 USD.
What seniority level is this Data Engineer role?+
This is a senior level position.
How do I apply for the Data Engineer role at Vantage Compute?+
Use the "Apply on himalayas" button to open the original posting on himalayas, where you can submit your application directly to Vantage Compute.