Flight Centre1 follower125 jobs

Head of Data Engineering and Platforms - South Bank, QLD

SeniorFull-timeHybridQueensland, AustraliaPosted 2 weeks agoVerified 3 days ago
Pending fitX of Y criteria met

About the job

The Head of Data Engineering and Platforms at Flight Centre Travel Group (FCTG) is a pivotal position that drives the collection, transformation, and utilization of data across the Leisure division. This job is not just about technical leadership; it’s about shaping the vision and strategy for a world-class data platform that supports smarter insights and next-generation AI capabilities. FCTG values collaboration and innovation, fostering a culture where talented engineering teams work together to build reliable data pipelines and ensure best-in-class governance and compliance.

You'll be responsible for

📈

Defining the technical vision, strategy and roadmap for data engineering

Aligning with business priorities to ensure the data engineering efforts support overall goals.
🔧

Leading data engineering and DataOps operations

Ensuring delivery on time, within budget, and to the required standard while managing engineering teams.
🚀

Building fast, robust and efficient data pipelines

Utilizing Databricks across both Azure and AWS to enhance data processing capabilities.

Key criteria

🔍

10+ years in data engineering

Extensive experience leading data engineering teams in enterprise settings.

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☁️

Experience with Azure and AWS

Proven experience operating across both Azure and AWS cloud environments.

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📊

Advanced data engineering skills

Demonstrated capability in building data pipelines on Databricks.

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Meet the team

About the company

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Think you're a good fit?See what the hiring team are looking for

View your fit

5 criteria for this job
10+ years in data engineering
Extensive experience leading data engineering teams in enterprise settings.

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Experience with Azure and AWS
Proven experience operating across both Azure and AWS cloud environments.

View

Advanced data engineering skills
Demonstrated capability in building data pipelines on Databricks.

View

Strong DataOps practices
Experience with pipeline observability and automation for data reliability.

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Collaboration with stakeholders
Proven experience partnering with Risk, Security, and Privacy teams.

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