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Data Engineer

3 weeks, 3 days ago
Ireland
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow AWS CI/CD dbt Docker GCP Git Looker MLflow Python Scikit-learn SQL Vertex AI
Apply Now
Kitman Labs

Kitman Labs

Kitman Labs is the industry-leading sports analytics company that provides a holistic, unified view of individual and team performance. Their Performance Intelligence Platform uses artificial intelligence to optimize athlete performance and health, ser...

Internet Software & Services
11-50
Founded 2012
$77M raised
View All Jobs 8

Description

  • Build and maintain BigQuery data models in Dataform using medallion architecture patterns (Bronze/Silver/Gold).
  • Contribute to Looker dashboards and LookML models with 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.
  • Monitor data observability across the warehouse, including pipeline health, data freshness, and anomaly detection.
  • Build and maintain Python data pipelines with testing, linting, and CI/CD integration.
  • Use Cloud Composer or Airflow to schedule and monitor data workflows.
  • Support Data Scientists in moving work from notebooks into production pipelines.
  • Develop feature pipelines and data preparation for machine learning workloads.
  • Bridge research prototypes into scalable, maintainable production code.

Requirements

  • SQL proficiency with the ability to write complex, performant queries against large datasets in BigQuery.
  • Experience with Dataform, or strong dbt experience with willingness to work in Dataform.
  • Python experience with an engineering mindset, including clean, tested, linted code.
  • Comfort with Git and CI/CD workflows.
  • Hands-on experience with BigQuery and broader familiarity with GCP services such as Cloud Storage, Cloud Run, Pub/Sub, and Datastream.
  • Hands-on experience with orchestration tools such as Cloud Composer, Airflow, or a comparable platform.
  • Understanding of data modelling fundamentals, including dimensional modelling, Kimball principles, or medallion architecture patterns.
  • Basic Docker knowledge and the ability to containerise and deploy data workloads.
  • Strong collaboration and communication skills, including translating business requirements into data models.
  • Pragmatic use of AI-assisted development tools to improve productivity and code quality.
  • Looker and LookML experience, preferred.
  • Familiarity with CDC concepts and tools such as Datastream or Debezium, preferred.
  • Exposure to ML frameworks or MLOps tooling such as scikit-learn, MLflow, or Vertex AI, preferred.
  • AWS experience, including Redshift, Glue, or RDS, preferred.
  • Curiosity about sports performance data, preferred.

Benefits

  • Competitive salary.
  • Meaningful equity.
  • Pension plan.
  • Fully paid health insurance for employees and dependants.
  • Life assurance.
  • Wellness perk.
  • Flexible workplace with office-based, hybrid, and remote working options.

Interested in this position?

Apply directly on the company website

Apply Now

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