Data Engineer
Core
Design, develop, and maintain scalable data pipelines and ETL processes to enable data-driven decision-making and support AI-native applications for a professional football club.
Role type
Data Engineer
Builds
Scalable, secure, and high-quality data solutions on Google Cloud Platform and Snowflake
Domain
Sports (AFL) / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Google Cloud Platform (GCP), BigQuery, Snowflake, SQL, Python, data pipeline optimization, data modeling, Knowledge Graphs
Preferred skills
AI/ML technologies, semantic modeling, data cataloging
Technologies
Google Cloud Platform, BigQuery, Cloud Run, Cloud SQL, Cloud Storage, Cloud Functions, Gemini Enterprise, Vertex AI, Snowflake
Responsibilities
Design and maintain scalable data pipelines and ETL processes; implement data integration solutions for structured and unstructured data; optimize data pipelines for performance and cost; ensure data quality, integrity, and security; structure and model data to support AI-native roadmaps; collaborate with stakeholders to translate data needs into solutions
Seniority
Mid-level, hands-on IC
