Team Lead Data Engineering (m/f/x)
Core
Building and operating essential, reliable data services and platforms (Data Lake, DWH) to ensure the business has trusted data for major plays.
Role type
Team Lead Data Engineering
Builds
Scalable data pipelines (batch and real-time), data models, and production-ready data systems.
Domain
Sports betting / Big Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data engineering leadership, ETL/ELT engineering, Big Data technologies (AWS Redshift, S3, EMR, Airflow, Kafka, Spark, Iceberg, Hudi), Java, Scala, Python, Linux, containers, Kubernetes, analytics/time-series technologies (OpenSearch/Elasticsearch), stakeholder management, strategic planning, automation, cost optimization.
Preferred skills
Experience managing large-scale data projects, fostering high-performance team culture, translating business requirements to technical specifications.
Technologies
AWS Redshift, S3, EMR, Airflow, Kafka, Spark, Iceberg, Hudi, OpenSearch, Elasticsearch, Java, Scala, Python, Linux, Kubernetes
Responsibilities
Manage, coach, and mentor a squad of Data Engineers; oversee the entire data supply chain from design to operation; ensure peak scalability, performance, and SLA adherence; guarantee end-to-end data quality, accuracy, and consistency; translate complex business requirements into robust technical specifications; align data engineering practices with group standards for security and compliance; lead automation and innovation in data processing.
Seniority
Senior, hands-on IC with leadership responsibilities
