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Jobs / FDJ United / Senior Cloud Data Engineer - KSP
Posted 2026-09-09

Senior Cloud Data Engineer - KSP

Description

At FDJ United, the focus is on reinventing the game. FDJ UNITED is a leading European betting and gaming operator with a strong reputation for technological excellence. The company offers a diversified and responsible range of games across approximately fifteen regulated markets.

FDJ UNITED is looking for bold individuals who are eager to succeed and ready to elevate the game. The company values innovation, embraces challenges, and offers the opportunity to make a real impact.

Focusing on the Sportsbook product, FDJ UNITED is seeking a Senior Data Engineer to help build and evolve its next-generation data platform. This role will power trusted, scalable, and real-time data assets across multiple brands and markets. The engineer will primarily work on the Sportsbook Data Platform, a modern, event-driven lakehouse built on AWS and aligned to medallion architecture principles. This platform will deliver high-quality, well-governed data products supporting analytics, trading insight, and machine learning use cases. It underpins critical decision-making across trading, risk, personalisation, and analytics, and is a key step in standardising and scaling the data ecosystem.

Responsibilities
  • Design and build scalable batch and streaming data pipelines, supporting ingestion, transformation, and serving layers.
  • Develop and maintain data assets aligned to medallion architecture (bronze, silver, gold), ensuring clear ownership, quality, and usability.
  • Model sportsbook domain data (bets, offers, rewards, digital data) into reusable, well-defined datasets for downstream consumption.
  • Implement data transformation logic using modern tooling (e.g. dbt, Spark, SQL-based frameworks), ensuring consistency and testability.
  • Build and optimise streaming data pipelines (Kafka/Flink or equivalent) to enable near real-time data availability.
  • Ensure data quality and reliability through validation frameworks, observability, and robust handling of late-arriving or inconsistent data.
  • Design data contracts and schemas that enable reliable integration between upstream event producers and downstream consumers.
  • Optimise pipelines and storage for performance and cost efficiency within AWS.
  • Collaborate with analytics, data science, and machine learning teams to translate business requirements into high-quality data assets.
  • Contribute to data governance practices, including metadata management, lineage, and discoverability.
Requirements
  • 5+ years experience in data engineering, building and maintaining scalable data platforms (required)
  • Strong SQL and data modelling skills, with experience designing analytical datasets (required)
  • Experience with modern data stack tools (e.g. dbt, Spark, Airflow, or similar orchestration and transformation frameworks) (required)
  • Experience with cloud-based data platforms, ideally AWS (required)
  • Understanding of medallion architecture or similar data layering approaches (required)
  • Experience working with streaming technologies (Kafka, Flink, or similar) (required)
  • Strong understanding of data quality, testing, and observability practices (required)
  • Experience designing schemas and handling data consistency challenges in distributed systems (required)
  • Ability to work closely with stakeholders to translate business needs into scalable data solutions (required)
  • Proactive mindset with the ability to operate in evolving environments and iterate on solutions (required)
  • Experience in sports betting, trading, or financial data domains (nice-to-have)
  • Familiarity with event-driven architectures and real-time data products (nice-to-have)
  • Experience with semantic layers (e.g. Cube.js) or metrics-layer design (nice-to-have)
  • Exposure to data governance and metadata tools (e.g. OpenMetadata, Hive Metastore) (nice-to-have)
  • Experience supporting machine learning workflows and feature engineering pipelines (nice-to-have)
Benefits
  • Learning and development opportunities
  • Social events and activities
  • Inclusion networks
  • Employee Assistance Programme
  • Private medical insurance
  • Long service awards
  • Pension
About FDJ United

FDJ United is one of Europe's largest gaming and betting groups, formed after French lottery operator La Française des Jeux (FDJ) acquired Kindred Group - the company behind Unibet - in 2024 and rebranded the enlarged group in 2025. Headquartered in Boulogne-Billancourt, France, it operates lottery, online sports betting, casino and poker across multiple European markets and Australia. Its portfolio includes well-known online brands such as Unibet, 32Red and Maria Casino, alongside FDJ's French lottery and retail network. The group is listed on the Euronext Paris exchange.

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