Data Engineer (m/f/x)
Core
Design and maintain batch and real-time data pipelines and architecture to process millions of transactions daily, enabling actionable insights for sports betting, customer acquisition, and operational efficiency.
Role type
Senior Data Engineer (Cloud & Big Data)
Builds
Scalable data infrastructure, ELT pipelines, and data warehousing solutions for a sports betting platform.
Domain
Sports betting / iGaming / Cloud Data Engineering
Deliverable
production ML models
Required skills
AWS services (S3, Athena, EC2, EMR, Batch, Lambda), SQL, ELT (dbt, Airflow), Big Data technologies (NIFI, Kafka, Python, Spark, Hudi), Docker/Kubernetes, Data modeling, Data quality governance, Data cataloging
Preferred skills
Experience with large cloud DWH tools (Redshift, Snowflake), Innovation in data processes, Fast learning in fast-paced environments
Technologies
AWS, dbt, Airflow, NIFI, Kafka, Python, Spark, Hudi, Docker, Kubernetes, Redshift, Snowflake
Responsibilities
Create and maintain batch and real-time data pipelines; Assemble large and complex data sets meeting business requirements; Identify and implement internal process improvements and infrastructure optimizations; Collaborate with stakeholders from project inception to delivery.
Seniority
Mid-Senior, hands-on IC
