oracle
Senior Data Engineer - AI Engineering (12 month FTC)
TPG Telecom
New South Wales, AUS
Full Time, Temporary
Senior · 5+ years experience
Hybrid
Discovered 2 weeks ago
SQLPythonETL/ELTMLOpsAWSGCP
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Your opportunity
This is an important role to enable the execution of our already defined AI Strategy. As a Senior 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.
You'll make impact by
Engineering
Day-to-day execution of the data and AI product roadmap and strategy.
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. Code review other engineer’s source code.
Build, support, maintain and document a high-performing data engineering, machine learning operations and AI platform.
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