Data Engineer
Core
Design, build, and optimize scalable ETL/ELT pipelines and semantic layers to enable self-service analytics for product and business teams.
Role type
Senior Data Engineer (Analytics Platform)
Builds
Scalable data infrastructure, data warehouses, and analytical layers
Domain
Sports technology, gaming, and fan experiences
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, distributed data systems, dimensional data modelling (Kimball, Inmon), cloud platforms (AWS/Azure/GCP), workflow orchestration (Airflow)
Preferred skills
Real-time streaming (Kafka), cloud-native analytical databases (Snowflake), multi-cloud architecture, data governance practices
Technologies
Apache Airflow, Snowflake, BigQuery, AWS, Azure, GCP, Kafka, DataHub
Responsibilities
Design and optimize ETL/ELT pipelines for high-volume datasets; Develop and maintain semantic layers and curated data marts; Enforce data quality, lineage, and observability practices; Partner with product and engineering teams to co-create scalable data solutions; Conduct code reviews and drive architectural improvements
Seniority
Senior, hands-on IC
