- Join a powerhouse of brands that connect customers, businesses and communities.
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Bring your boldness and stand out in an organisation that supports you to shine.
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Access to awesome perks like a free mobile and home internet plan!
Bring your ‘you’ to TPG Telecom, and help us build meaningful relationships and support vibrant, connected communities. We’re better and bolder together.
TPG Telecom started with a belief that we can make things better for Australians. We believe in the power of meaningful relationships to support vibrant, connected communities where everyone belongs. It’s our why; our reason to exist. Now, we’re proud to be one of Australia’s leading mobile and internet providers. We’re not just redefining telco, we’re changing its course. And you play a role in that. A big one. The opportunities are plenty for those who are ready to accept the challenge.
Could that be you?
Your opportunity:
A foundational engineering role focused on building quality data pipelines under guidance while developing technical skills and understanding of enterprise data platforms. This position suits early-career engineers or those transitioning into data engineering who bring strong fundamentals and eagerness to learn.
Key Attributes & Requirements
Foundational Skills: Working knowledge of data engineering with exposure to transformation tooling like dbt, proficient SQL capabilities, and a quantitative educational background (computer science, engineering, IT, mathematics) or equivalent practical experience. Prior experience in large, established organisations is valued.
Growth Orientation: We seek self-starters who own their development plan, actively seek feedback through peer review, and embrace learning opportunities. The ability to execute guided work while critically thinking about approach and delivery demonstrates the initiative will be valued.
Collaborative Contributor: Success requires embracing agile ways-of-working, partnering effectively with cross-functional stakeholders (ML Engineers, Data Scientists, Analysts, Platform Engineers), and contributing positively to team culture. Exposure to AI/ML platforms or software engineering practices is advantageous but not required.
Problem-Solving Mindset: Candidates should demonstrate natural curiosity, motivation to tackle complex problems, and a "can-do" attitude that persists through challenges. The willingness to troubleshoot issues, document solutions, and support BAU operations shows the ownership mentality we need.
Key Opportunities
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Join a high-performing team executing on TPG's AI strategy
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Develop expertise across modern data stack technologies
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Learn from experienced Lead and Senior Data Engineers
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Build foundational skills in data platform engineering and MLOps
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Grow their career within a large, dynamic telecommunications organisation
Key Challenges
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Ramping up quickly in a complex enterprise environment
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Learning multiple technologies and platforms simultaneously
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Supporting production operations while building new capabilities
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Navigating organisational complexity as you establish relationships
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Managing ambiguity in an evolving data and AI landscape
What to Look Forward To: This is an exceptional opportunity to launch or accelerate the successful candidate’s data engineering career within a supportive Centre of Excellence that values growth and development. The successful candidate will gain exposure to cutting-edge AI platforms, work with modern tools, and develop skills that position them for long-term career progression in data and AI.
Technology Stack Overview
Our modern data and AI platform is built on:
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Cloud Infrastructure: AWS (primary), with multi-cloud considerations
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Data Platform: Databricks, Redshift, dbt for transformation, AWS S3 data lake
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Orchestration: Airflow for pipeline management
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Programming: SQL (advanced) and Python (proficient)
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MLOps: Feature stores, model hubs, orchestration frameworks on Databricks
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AI Integration: Foundation models, agentic AI patterns, responsible AI practices
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DevOps: AWS and GitHub CI/CD pipelines, source control, infrastructure as code
Partnership Model
Data Engineering team members will collaborate extensively across TPG's Technology function (OneTech), including:
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Cloud Engineering, Software Engineering, and Architecture teams
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Networks and Tech Ops teams for foundational data access
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Data Governance for risk and compliance management
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Data Science and Analytics Products for downstream consumption
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Business Partnering for requirements and value realisation
This cross-functional model requires strong communication skills, stakeholder management capability, and the ability to build trusted partnerships across organisational boundaries.
What's in it for you?
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Flexible hybrid way of working (from home and office)
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‘Stay Connected Mobile’ – Access to a free mobile plan
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‘Stay Connected NBN’ – Access to a free, high‑speed NBN plan (up to 500 Mbps)
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‘Your Leave’ - an additional 4 days of leave to be used whenever you like - every year
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Access to TPG Learning Hub platform and internal development opportunities
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Access to Corporate Partner Discounts
Come join us and build a better future. Apply today.
Don’t meet every single requirement? That’s OK! At TPG Telecom, we’re all about creating an accessible workplace where everybody feels safe to bring their authentic self to work - regardless of background. If you think this role is a great fit for you but some of the qualifications don’t align with your experience, we still encourage you to apply - you might just be the perfect candidate for a similar role with us! Learn more about life at TPG Telecom here.
TPG Telecom also acknowledges the Gadigal People of the Eora Nation as the Traditional Custodians of lands and waterways where this office can be found in Barangaroo.
Our Talent Acquisition Team and Hiring Managers kindly request no unsolicited resumes or approaches from Recruitment Agencies. TPG Telecom is not responsible for any fees related to unsolicited resumes.
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