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Senior Data Engineer

Location: Sydney, Australia

Contract Type: Full Time Permanent

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Our DevOps culture is strong: we believe in “release small, release often.” Thanks to our fully automated CI/CD pipelines, we push over 13,000 releases to production every year, delivering value to customers in real time. We use modern technologies across backend, frontend, apps, data and infrastructure, and we’re continuously evolving. We tackle complex engineering challenges such as real-time scalability, database migrations with no downtime, and peak transaction loads, all while maintaining an exceptional and safe customer experience.

Turning skills into thrills

    Turning skills into thrills

  • Technical Expertise
  • Strategic Thinking and Innovative
  • Adaptive Problem-Solving & Experimentation
  • Cross-Functional Collaboration
  • Agility & Adaptability
  • Curiosity & Continuous Learning

United by our three values

illustration of a heart Passion to succeed

Striving for excellence and beyond

illustration of a scale Accountability

Taking ownership and upholding high standards every day

illustration of a group of people Collective Spirit

As one team, we achieve more

Senior Data Engineer

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.
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Testimonials

  • Bertrand Le Piolot
    Photo de profil Bertrand Le Piolot

    My mission is to position cybersecurity as a business enabler, by finding the right balance between security requirements and business development objectives.

    Bertrand Le Piolot
    Group Cybersecurity Director
  • Lesya Liskevych
    Photo de profil Lesya Liskevych

    Our team turns every customers interaction into mainingful insights, leveraging AI to personalise and enhance the user experience on our gaming platform.

    Lesya Liskevych
    Head of Product Insights & AI Automation Technology
  • From improving product features to enhancing safe gaming practices, data isn't just information, it's a catalyst for innovation and maintaining the Group's integrty.

    Nonna Shakhova
    Cloud Data Engineer
    Nonna Shakhova
    Photo de profil Nonna Shakhova

A European gaming champion

FDJ UNITED is a European leader in betting and gaming, trusted for its iconic brands and technological strength across around 15 regulated markets. We’re rapidly digitising our lottery business and expanding our sports-betting footprint, creating exciting opportunities to build the next generation of player experiences. Here you’ll work on high-impact projects: modernising platforms, scaling data-driven personalisation, and developing tools that both delight customers and protect them. Our goal is to strengthen customer relationships through smarter identification and insights. That means meaningful, purpose-driven work, from customer service to marketing, product design, compliance and more. All within an international, innovation-focused environment. We are shaping the future of gaming, join us!

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Benefits

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