Lead Data & Machine Learning Engineer

Alinta Energy is seeking a Lead Data & Machine Learning Engineer to manage a team of data engineers in Australia, with positions available in Adelaide, Melbourne, or Sydney. The role involves designing and maintaining data frameworks, optimizing machine learning pipelines, and ensuring project delivery. The company offers a hybrid work model, energy discounts, and career growth opportunities, contributing to the transformation of Australia's energy system.
• Manage a team of data engineers to ensure high quality and timely project delivery
• Open to Adelaide, Melbourne or Sydney locations
• Attractive hybrid work model | Energy Discounts |Career Growth Opportunities

Alinta Energy is one of Australia’s biggest energy retailers, generators and developers with over 1.1 million customers. Australia’s energy system is undergoing the biggest transformation in its history and we’re right there with it. We’re investing in and developing large-scale renewables and storage projects as part of our ongoing effort to provide our customers with reliable, affordable and sustainable energy.

About The Role

As a Lead Data & Machine Learning Engineer, you will be instrumental in designing, developing, and maintaining our data and machine learning frameworks. You’ll lead a team of skilled data engineers and work closely with stakeholders to ensure high-quality project delivery and utilise your expertise to help drive the evolution of our AI and data engineering capabilities, supporting projects primarily across our Retail division.

Why you’ll love working here

We’re a welcoming bunch who put our energy into being the best company we can be. For us, this means shared respect, great communication between teams, acting on our ideas, and looking out for each other’s wellbeing. There are plenty of great perks, from flexible working to a long list of exclusive Alinta benefits.

What You’ll Do
• Develop a metadata-driven ELT/ETL framework for efficient data processing and seamless data flow
• Establish ML frameworks, optimise pipelines, and apply MLOps for automation and performance monitoring
• Create data models that support business intelligence, analytics, and decision-making
• Manage and coach data engineers to foster skill development, best practices, and high-quality project delivery
• Work with stakeholders to align priorities, maintain platform performance, and ensure data governance compliance

Your Experience
• Proven track record in designing and developing metadata-driven ELT frameworks
• Hands-on experience in building, training, and supporting machine learning models
• Expertise in developing Databricks, Python, Scala, or Java code for large-scale cloud-based data warehouses using Spark, Kafka, Hive, and MapReduce
• Strong experience in test-driven development, data modelling (Kimball), and modernising legacy data infrastructure
• Experience in machine learning, MLOps, and developing AI-driven frameworks

If you’re passionate about data, machine learning, and creating scalable solutions that make a real impact, this is your opportunity to lead and innovate in a high-performing team.

Like what you’re seeing?

If you like the sound of this, and you’ve got experience in a similar role, we’d love to talk to you. Come and discover better together with Alinta Energy.

We are a 2025 Circle Back Initiative Employer – we commit to respond to every applicant.

If your application progresses, we will need to complete background and pre-employment checks, such as immigration checks, reference checks, criminal background checks, qualification checks, and additional checks for roles related to finance.

We look forward to hearing from you.

Click ‘Apply’ to submit your application.

Closing date: 26 February 2025

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