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Data Engineer (12 month FTC)

TPG Telecom -
New South Wales

Apply Now

Job Details

Full-time

Qualifications

SQL
Bachelor's degree
AI
Business

Full Job Description

This is an important role to enable the execution of our already defined AI Strategy. As a Data Engineer in the Data and Analytics Centre of Excellence (CoE), 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 peers 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 and self-starter engineer. You critically think about your work and how you will deliver it. As a resourceful and collaborative team player, you enjoy ambitious goals and taking on challenging work that’s not been fully figured out yet. You think outside the box and always looking for a better way of delivering great work. Your ambition is to exceed expectations in whatever you take on.

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.

Engineering

Day-to-day execution of the data and AI product roadmap as guided.
Build high-quality ETL/ELT and MLOps data ingestion and transformation pipelines, patterns and practices to deliver a single source of truth platform of reusable data and AI products.
Script, support and maintain quality source code as guided.
Support, maintain and document a high-performing data engineering, machine learning operations and AI platform as guided.
Understand and deliver end-to-end delivery of data engineering, machine learning operations and AI services.
Troubleshoot and resolve data and AI engineering pipeline issues as they arise.
Support business as usual (BAU) data products and platforms as set out in the team.

Collaboration

Adopt and embrace set-out agile ways-of-working and scrum cadence.
Present your work to engineers within the team for peer review and feedback.
Support the Governance & Risk teams to ensure we are effectively managing the risk of our data products.
Partner closely with peers and stakeholders: Data Engineers, ML Engineers, Data Scientists, Analysts, Business Partners, Platform/DevOps Engineers, Project Managers/Scrum Masters, Testers and other business stakeholders as required.
Participate in supporting the overall Data & Analytics Centre of Excellence strategy and its execution.
Collaborate to create outstanding people experiences for the data and analytics teams.

Development

Own and execute your set-out data and AI engineering development plan.

What we are looking for

University degree in a quantitative discipline, such as computer science, engineering, IT, or math, or equivalent experience.
Experience working in highly matrixed and established organisations (e.g. telco, finance, insurance or retail)
Working knowledge of data engineering experience with exposure to data transformation tooling such as dbt.
Proficient SQL knowledge.
Exposure to AI/ML platforms and tooling will be advantageous.
Exposure to software engineering will be advantageous.
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!

Benefits

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 NBN 100 plan
‘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

IND2 #LI-Hybird #LI-LO1

Apply Now

Refine Your Search

analyst devops jobs

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