Senior Data Engineer

Details

Work Location Type:
Hybrid
Office:
Sydney, Australia
Type of Employment:
Full Time Permanent
Reference Number:
TEC2608

About Us

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?

The Role

Data Engineering pipeline design and implementation experience within a commercial environment.
Deliver robust data solutions for complex, enterprise-level environments.
Experience working with metadata-driven ELT/ETL frameworks and modern data orchestration tools.
Develop data processing solutions using Python, Scala or Java code for large-scale, cloud-based data warehouses that make use of big-data frameworks like Spark, Kafka, etc
Previous experience in working with legacy data warehouses and reverse-engineering designs from undocumented code.
Write and optimize complex SQL queries to efficiently process large datasets.
Demonstrated experience in breaking down complex problems and projects into manageable goals.
Build and maintain dbt models, tests, and documentation as part of a modular transformation layer.
Work with data quality engineer - to implement and enhance data quality checks, anomaly detection, validation frameworks, and automated reconciliation processes.
Design and maintain automated alerting and monitoring for pipelines, data drifts, and upstream failures.
Deploy and manage applications and data services on Kubernetes (K8s) in collaboration with DevOps/SRE teams.
Support BI and analytics teams by enabling accessible, trusted, and well-modeled data for reporting and dashboards.
Work within a scrum-based agile environment, breaking down complex projects into actionable tasks

Technical and Functional skills:

Solid experience with agile methodologies (Kanban, Scrum).
Strong hands-on experience in:
- dbt (development, testing, documentation, deployment) - Nice to have.
- SQL for advanced analysis and handling multi-terabyte datasets
- Data quality frameworks, reconciliation logic, and validation patterns
- Alerting/monitoring systems (CloudWatch, Grafana, Airflow alerts, etc.)
- Kubernetes app deployment and containerized workflows
Flexible, resilient, and passionate about delivering high-quality data solutions.
Excellent organizational and time management skills; ability to prioritize effectively.
Strong professionalism, confidentiality, and reliability.
Exceptional interpersonal skills and the ability to build strong relationships across teams.
Experience collaborating with remote or distributed teams.
A genuine interest in exploring new technologies and continuously improving engineering practices.

Our Way Of Working

Our world is hybrid.

A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.

Application Process

We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.