Senior Cloud Data Engineer - Real-Time Sportsbook Platform

FDJ UNITED; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

FDJ UNITED is seeking a Senior Data Engineer to build and evolve a next-generation data platform powering analytics, trading insight and ML use cases for Sportsbook. You will design batch and streaming pipelines, model data into bronze/silver/gold layers, and collaborate with analytics and ML teams across multiple brands.

Ideal candidates have 5+ years in data engineering, strong SQL and data modelling, and experience with dbt, Spark, Airflow, AWS, Kafka or Flink.

Qualifications

• 5+ years in data engineering and building scalable data platforms.
• Strong SQL and data modelling skills with analytical datasets.
• Experience with modern data stack tools (dbt, Spark, Airflow).
• Cloud-based data platforms, ideally AWS, and medallion architecture.
• Experience with streaming technologies (Kafka, Flink).
• Proactive, collaborative, able to translate business needs into data solutions.

Responsibilities

• Design and build scalable batch and streaming data pipelines.
• Model sportsbook domain data into reusable datasets for downstream use.
• Implement data transformations with dbt, Spark, or SQL-based frameworks.
• Build streaming pipelines to enable near real-time data availability.
• Ensure data quality, observability, and robust handling of late data.
• Collaborate with analytics, data science and ML teams to deliver data assets.

Skills

SQL

Data modelling

Streaming data

Cloud AWS

Medallion architecture

Data quality

Observability

Distributed systems

Stakeholder collaboration

Tools

dbt

Spark

Airflow

Kafka

Flink

Job description

FDJ UNITED is seeking a Senior Data Engineer to build and evolve a next-generation data platform powering analytics, trading insight and ML use cases for Sportsbook. You will design batch and streaming pipelines, model data into bronze/silver/gold layers, and collaborate with analytics and ML teams across multiple brands.

Ideal candidates have 5+ years in data engineering, strong SQL and data modelling, and experience with dbt, Spark, Airflow, AWS, Kafka or Flink.