Data Quality Engineer
At FDJ United, the Data Quality Engineer will focus on the Sportsbook product, ensuring the reliability, accuracy, and trustworthiness of data across a next-generation data platform that supports multiple brands and markets. The role involves working on a modern, event-driven lakehouse built on AWS, aligned with medallion architecture principles. The position is responsible for embedding data quality, observability, and governance into the core of the data ecosystem to ensure that information powering analytics, trading insights, and machine learning is consistent, well-understood, and fit for purpose.
- Design and implement scalable data quality frameworks across batch and streaming pipelines.
- Define and enforce data quality rules, including completeness, accuracy, consistency, timeliness, and validity.
- Build automated data validation checks within ingestion and transformation pipelines (e.g. dbt tests, custom frameworks with Soda).
- Develop monitoring and observability capabilities to detect anomalies, data drift, and pipeline failures.
- Implement alerting mechanisms to surface data quality issues to relevant stakeholders in a timely manner.
- Partner with data engineers to embed quality controls within medallion layers (bronze, silver, gold).
- Define and maintain data contracts and schema validation to ensure reliability between producers and consumers.
- Perform root cause analysis of data issues and work with upstream and downstream teams to resolve them.
- Establish and track data quality SLAs/SLOs and report on data health metrics.
- Contribute to metadata management, including data lineage, definitions, and quality annotations.
- Support governance initiatives to improve data trust, discoverability, and standardisation across the platform.
- 3+ years experience in data engineering, data quality, or a related field (required)
- Strong SQL skills and experience working with large-scale datasets (required)
- Experience implementing data quality checks and validation frameworks (e.g. dbt tests, Soda, or similar) (required)
- Familiarity with data pipeline orchestration and transformation tools (e.g. Airflow, Spark, dbt) (required)
- Experience with cloud-based data platforms, ideally AWS (required)
- Understanding of data modelling and data lifecycle concepts (required)
- Experience with data observability, monitoring, and alerting practices (required)
- Ability to investigate and resolve data issues across distributed systems (required)
- Strong attention to detail and a proactive approach to improving data reliability (required)
- Ability to collaborate with engineers, analysts, and business stakeholders (required)
- Experience in sports betting, trading, or financial data domains (nice-to-have)
- Familiarity with streaming data quality challenges (e.g. late data, duplication, ordering) (nice-to-have)
- Experience with observability tools (e.g. Soda, Great Expectations, or similar) (nice-to-have)
- Exposure to metadata and governance tooling (e.g. OpenMetadata, Hive Metastore) (nice-to-have)
- Understanding of data contracts and schema evolution practices (nice-to-have)
- Experience supporting machine learning or analytics data quality requirements (nice-to-have)
- Learning and development opportunities
- Social events and activities
- Inclusion networks
- Employee Assistance Programme
- Private medical insurance
- Long service awards
- Pension
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.