Bring your ‘you’ to TPG Telecom, and help us build meaningful relationships and support vibrant, connected communities. We’re better and bolder together.

This is an important role to enable the execution of our already defined AI Strategy. As a Lead Data Engineer in the Data and Analytics Centre of Excellence (CoE), you will be the most senior and hands-on data engineering individual contributor reporting to the Head of Data Engineering. You will build pipelines and processes to transform data from foundational data products to derived data products on a modern data and AI platform. The objective of these data products is to create highly reusable and ready-to-consume datasets that ensure a single source of truth and enable flexible and rapid use of data and AI/ML customer centric use cases.

You will partner closely with Technology teams, especially Cloud Engineering, Software Engineering, and Architecture teams, as well as the Networks and Tech Ops teams across the Technology function (OneTech). You will also partner with other Leads in the CoE – especially Data Governance, Data Science, Analytics Products, Business Partnering – to develop scalable solutions, including continuous monitoring and optimisation of data platforms and pipelines.

About You

You are a customer centric data engineering technical hands-on leader that thrives under ambiguity. You influence without authority, and you are pragmatic in setting and managing expectations of your team and stakeholders. Your foresight and social awareness skills enable you to look around the corner and prepare ahead of time to be able to pivot when circumstances evolve. You raise standards but do so with empathy.

Responsibilities

We are a dynamic business; this brings new opportunities for our customers and our people. Being adaptable, managing change and maintaining resilience is key to success for all of us at TPG. Due to the dynamic nature of the business your responsibilities may change over time as the business evolves.

Leadership

• Be the team’s “Bar Raiser”. Mentor and inspire other engineers across the business.
• Lead and scale the design and implementation of a high-performing data and AI engineering platform.
• Lead technical collaborations with the other engineering and IT teams to ensure the delivery of reusable data products to the business.
• Contribute to our data and AI product roadmap.

Engineering

• Be hands-on in data and AI platform configuration, ingestion and transformation pipeline build, patterns and practices to deliver a single source of truth platform of reusable data products.
• Influence and support the infrastructure teams to ensure end-to-end technical implementation and delivery of data engineering, machine learning operations and AI services.
• Script, support and maintain quality source code. Code review other engineer’s source code.
• Deliver data and AI engineering continuous improvement opportunities and scale best practices and team-wide ways-of-working.
• Scale business as usual (BAU) data products and platforms to ensure security, integration, observability, operationalisation, availability, reliability, and maintainability.
• Support the Governance & Risk teams to ensure we are effectively and responsibly managing the risk of our data and AI platforms and products.

Partnership

• Collaborate across teams to create outstanding people experiences for the data, analytics and AI teams.
• Partner closely with peers and stakeholders: Data Engineering Managers, CoE Leads, Business Partners, Architects, Platform Managers, and other business stakeholders as required.
• Support the overall Data & Analytics Centre of Excellence strategy and its execution.

What we are looking for

• Experience working in highly matrixed and established organisations (e.g. telco, finance, insurance or retail)
• University degree in a quantitative discipline, such as computer science, engineering, mathematics, or equivalent experience.
• At least 7 years of hands-on data engineering or machine learning ops experience.
• Advanced SQL and Python knowledge.
• Hands-on ETL/ELT and MLOps platforms with dimension modelling and feature engineering experience (e.g. Data Lakes, Data Warehousing, Star Schema, Change Data Capture, Orchestration, PII protection, Observability).
• Experience with AI platforms, patterns, tooling or proof-of-concept solutions: Integration and Gateways, Orchestration and Agentic AI, Foundation Models, Model Hubs and Augmentation, Security and Responsible AI.
• Experience with one or more of the major cloud providers (e.g. AWS, GCP, Azure).
• Experience with a modern data stack, particularly dbt, Databricks, Redshift, Airflow.
• Ideal, but not required: Software engineering, DevOps experience (e.g. CICD, Source Control, Java, Terraform).
• A “solutions mindset” of natural curiosity and a strong motivation to solve problems, no matter how complicated or ambiguous they might be.
• Above all else, a “can-do” attitude is the most important qualification!

What's in it for you?

• Flexible hybrid way of working (from home and office)
• ‘Stay Connected Mobile’ – Access to a free mobile plan
• ‘Stay Connected NBN’ – Access to a free, high‑speed NBN plan (up to 500 Mbps)
• ‘Your Leave’ - an additional 4 days of leave to be used whenever you like - every year
• Access to TPG Learning Hub platform and internal development opportunities
• 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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