Data Engineer Scientist

Data Engineer / Scientist

Full Time Salary | Movie World, Oxenford, Gold Coast

The Opportunity

At Village Roadshow Theme Parks, the magic begins with understanding our guests, and data is where that story begins. We’re on the hunt for a Data Engineer / Data Scientist to take the lead in developing and owning our Customer Data Platform (CDP) within the Microsoft Fabric environment.

This hybrid role blends data engineering, analytics, and data science expertise to create a unified guest view and unlock actionable insights across marketing, ticketing, digital, and operations.

You’ll be a driving force in our data‑driven transformation, designing and optimizing data pipelines, developing predictive models, and ensuring data integrity and governance. Your work will power smarter decisions, personalise guest experiences, and drive commercial success.

Key Responsibilities

Here’s how you’ll make an impact. You’ll be:

- Leading the design, build, and maintenance of the VRTP Customer Data Platform in Microsoft Fabric, integrating data from systems like Ticketing, POS, PMS, and CRM.

- Managing data ingestion, transformation, and harmonisation to create a single, trusted view of every guest.

- Developing and maintaining data models, dataflows, and semantic layers within Fabric.

- Ensuring the CDP is scalable, secure, and compliant with organisational standards and privacy regulations.

- Championing data accuracy, quality, and consistency across all customer touchpoints.

- Collaborating with stakeholders to uncover insights, solve business challenges, and enable data‑driven decision‑making.

What We’re Looking For

The toolkit you’ll bring to transform data into action:

- A tertiary qualification in Data Science, Computer Science, Engineering, or a related field.

- 5+ years’ experience in data engineering and/or data science roles.

- Microsoft Certified: Data Engineer Associate or Data Scientist Associate credentials.

- Expertise in the Microsoft Fabric ecosystem — including Synapse, Data Factory, OneLake, Power BI, SQL Server, and Azure components.

- Strong proficiency in SQL, Python, and data modelling techniques.

- Experience building or managing Customer Data Platforms.

- Practical knowledge of machine learning frameworks and data integration.

- A solid understanding of data governance, privacy, and security principles in consumer data environments.

Your backstage pass to fun, friends and unforgettable memories

- Unlimited free entry to our amazing theme parks

- Earn complimentary passes to share with family and friends

- Enjoy discounts on food & beverage, retail and animal experiences across our parks

- Exclusive employee deals through our Village Employee Benefits App, partnered with 65+ major retailers

- Unique team events and awards, celebrating our people is part of the fun

- Reward and recognition programmes with prizes for outstanding contributions

- Wellbeing support with our on‑site team and 24/7 Employee Assistance Programme (EAP)

- Professional development opportunities with internal training, we love to grow our talent

At Village Roadshow Theme Parks, our purpose is simple: create joy and memories that last a lifetime. Every day, our team brings this to life across our iconic properties, from Warner Bros. Movie World and Sea World, to Wet’n’Wild, Paradise Country, Topgolf, Sea World Resort, Australian Outback Spectacular, and Village Roadshow Studios.

Working here isn’t just a job, it’s being part of a team that loves what they do, in a vibrant, fun, and supportive environment. You’ll meet amazing people, develop new skills, and help create unforgettable experiences for our guests.

We value everyone’s unique contributions and encourage candidates of all backgrounds, abilities, and experiences to apply. Apply today to join one of the most exciting tourist attractions on the Gold Coast and start creating memories, for our guests, your team, and your career

Advertised: 11 Nov 2025 E. Australia Standard Time
Applications close: 25 Nov 2025 E. Australia Standard Time

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