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Data Engineer

Entain
CompanyEntain
CategoryEngineering
LocationBrisbane
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted19 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
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Description
Who We Are Entain is fearlessly transforming the global racing, sports and wagering industry, creating unforgettable customer experiences and pushing beyond traditional boundaries. Part of a FTSE 50 company with nearly 30,000 employees across 30+ countries including Europe, the USA, Australia and New Zealand, Entain ANZ powers leading brands like TAB, Trackside and Ladbrokes. At Entain, our customers are at the heart of everything we do, and Finance underpins the commercial decisions that drive performance, sustainable growth, and world-class customer experiences.  Your Impact This is where data drives the game. As a Data Engineer at Entain, you’ll play a key role in shaping and scaling the data platform that underpins decision-making across the business. From customer behaviour to operational performance, your work ensures data is accurate, accessible, and trusted. You’ll take ownership of our Snowflake data warehouse and the pipelines that feed it, continuously improving performance, scalability, and reliability. By delivering high-quality data solutions at pace, you’ll directly enable teams across analytics, marketing, trading, and finance to make better, faster decisions. This role will continue to evolve alongside the adoption of AI-enabled engineering practices across the Data team. A Day in the Life You’ll operate across both delivery and continuous improvement: Manage, maintain, and optimise Snowflake environments to meet performance, cost, and SLA expectations Design, build, and enhance ETL/ELT pipelines to ingest and transform data from a wide range of sources Work closely with stakeholders to understand requirements and translate them into scalable, reliable data solutions Develop and refine data models to support reporting, analytics, and downstream use cases Monitor pipeline health, troubleshoot issues, and proactively improve data quality and timeliness Contribute to testing frameworks, code reviews, and engineering standards to uplift overall platform quality Document data flows, architecture, and processes to support maintainability and knowledge sharing Collaborate with analysts, data scientists, and engineers to deliver end-to-end data products Leverage modern engineering practices, including AI-assisted development and observability, to improve delivery efficiency and data reliability Your Strengths Strong experience in data warehousing principles and dimensional modelling (Kimball) Hands-on expertise with Snowflake or similar cloud-based data platforms Advanced SQL skills, with experience building performant and maintainable transformations Proven experience developing ETL/ELT pipelines using tools like Matillion or similar Understanding of modern data architectures, including batch and streaming (e.g. Kafka) Experience working with both structured and semi-structured data (JSON, XML) Familiarity with version control tools (GitHub/GitLab) and collaborative engineering practices Exposure to BI ecosystems (e.g. SQL Server, SSIS, SSAS, SSRS or similar) Experience using AI-assisted development tools (e.g. GitHub Copilot, Claude, ChatGPT, Cortex Code or similar) to enhance productivity and code quality Strong problem-solving ability with a focus on performance, scalability, and data quality Self-driven, adaptable, and comfortable working in a fast-paced, evolving environment Life at Entain At Entain, it’s more than a job - it’s a place to grow, connect, and make an impact. We value individuality, celebrate collaboration, and create space for bold ideas that move people. Here, you’ll help shape the voice of some of Australia and New Zealand’s most recognised brands - while developing your own craft in a supportive, ambitious team. Perks You’ll Love Hybrid & Flexible:  Balance your life and work. Recognition & Rewards:  
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