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Overview
Join Kindred Group as a Senior Data Engineer to build and optimize scalable ETL/ELT pipelines and Lakehouse architectures using modern cloud technologies. Be part of a team dedicated to innovation in the betting and gaming industry. At FDJ UNITED, we don't just follow the game, we reinvent it. FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day. We’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field. Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?
Key Responsibilities
- •Pipeline Development: Build ETL/ELT pipelines (Python, SQL), optimize Spark/PySpark jobs, manage Airflow DAGs, and implement dbt transformations.
- •Lakehouse Architecture: Design medallion-style architectures using S3 and modern table formats (Iceberg, Delta Lake) with optimized layouts.
- •Platform Infrastructure: Create reusable frameworks, enforce data contracts, build CI/CD pipelines, and establish observability practices.
- •Data Quality: Implement validation frameworks, data contracts, and SLIs/SLOs for critical pipelines.
Required Experience
- •5+ years in data engineering
- •Strong Python, advanced SQL, Airflow, Spark/PySpark, dbt, and CI/CD proficiency
- •Experience with Lakehouse architectures, dimensional modeling, and cloud data warehouses (S3, Athena, Redshift)
- •Data quality frameworks, monitoring, and schema evolution expertise
Nice-to-Haves
- •Streaming platforms (Kafka, Kinesis)
- •AI coding assistants (Cursor, Claude Code, Copilot)
- •Terraform, Kubernetes/Docker
- •Data catalog/metadata management experience