Teams at FDJ UNITED

Build and optimize scalable batch and streaming data pipelines for an AWS-based sportsbook lakehouse. Develop medallion architecture data assets, model sportsbook datasets, implement transformations, and improve data quality, observability, governance, metadata, and lineage. Design schemas and data contracts for distributed systems while supporting analytics, trading, risk, personalization, and machine learning use cases. Collaborate with data, analytics, and business stakeholders to deliver trusted, real-time data products.

Design and maintain scalable data platforms, lakehouse architectures, pipelines, and data products across cloud and on-premises environments. Build streaming, ETL/ELT, transformation, orchestration, CI/CD, governance, and self-service analytics solutions. Collaborate with stakeholders and architects to translate business needs into technical solutions, support data quality and compliance, and provide operational support. Explore generative AI tools such as Amazon Q and Copilot to improve analytics accessibility and efficiency.

Build and maintain batch and streaming data pipelines for a modern AWS sportsbook data platform. Develop medallion-aligned datasets using SQL, dbt, Spark, and related tools; support Kafka or Flink streaming; implement data quality checks, schemas, monitoring, and governance; and troubleshoot pipeline performance and costs. Collaborate with analytics, data science, machine learning, trading, risk, and personalization teams to deliver reliable, scalable data assets.