Join the change. Together, we’ll make history.
As we keep the lights on for over four million customers and move towards a more sustainable way of life, it’s an exciting time to be at AGL. We’re re-imagining how homes and business live and work across the country and we want you to be a part of it. This moment will define our time, and your career as you work alongside Australia's best and brightest minds. You’ll grow and learn in a collaborative, safe and supportive environment and play your part in changing the course of tomorrow.
Everyone at AGL is an important part of building a better energy future and we want you to join in.
About the role:
The Data Engineer plays a key role in supporting Customer Markets by developing and maintaining robust data infrastructure. This position focuses on optimizing data ingestion, modelling, and reporting to enhance accessibility, reliability, and security. By streamlining data processes, the Data Engineer enables faster decision-making and improves operational efficiency. Collaborating with cross-functional teams, they ensure seamless data interaction, empowering stakeholders with accurate and actionable insights.
What you’ll be doing:
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Data Pipeline Development: Design, build, and maintain scalable data pipelines using Azure (Data Factory, Databricks), Python, and SQL for Data Lake/Data Warehouse environments.
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Optimization & Security: Monitor, troubleshoot, and optimize pipelines for performance, cost efficiency, and data security while ensuring governance and quality.
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Collaboration & Support: Work with data scientists and analysts to enable BI, machine learning, and analytics solutions.
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Automation & Deployment: Implement Agile and DevOps practices (Git/GitHub, CI/CD) to automate and streamline data processes.
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Innovation & Best Practices: Stay updated on industry trends, drive best practice adoption, and foster an inclusive, collaborative work culture.
About you:
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Data Engineering & Modelling: Proven experience as a Data Engineer with expertise in data modelling using Kimball methodologies, ETL processes, and data integration techniques.
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Technology & Tools: Proficiency in SQL and Python for data transformation and analysis, along with experience in data visualization tools like Power BI.
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Cloud & Infrastructure: Extensive experience in building and optimizing data pipelines, data lakes, and data warehouses, primarily in Azure, with familiarity in AWS, GCP, and relevant storage solutions.
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Automation & Optimization: Strong problem-solving skills with expertise in CI/CD pipelines, version control (Git), and optimizing complex data workflows.
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Business & Communication: Ability to translate business requirements into actionable insights, with strong collaboration, communication skills, and an understanding of the energy industry and regulatory frameworks.
At AGL, we offer a wide range of benefits including:
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Flexible working options including hybrid work.
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Discounts on energy, telcos and solar plans.
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Participate in Energise - our reward & recognition program.
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Access 20 weeks of paid parental leave for the primary carer.
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Access to an additional week of recharge leave per year.
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Play an active role in our diversity & inclusion initiatives.
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Novated leasing and Electric Vehicle subscriptions.
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Access to study assistance, AGL’s share purchase plan and insurance deals.
*Benefits may change over time and vary based on role type and location.
Inclusion at AGL
At AGL, we value diversity and welcome applicants from various backgrounds, including Aboriginal and/or Torres Strait Islander peoples, individuals with disabilities, culturally diverse individuals, and members of the LGBTQ+ community. AGL is dedicated to maintaining a diverse workforce and encourages applicants to share their lived experiences.
We offer reasonable adjustments throughout the recruitment process and respect the privacy of those who choose not to disclose. To learn more visit: www.agl.com.au/careers
AGL is a Circle Back Initiative employer - we commit to respond to every applicant.
Our pre-employment screening process includes a Nationally Coordinated Criminal History Check and a medical assessment if necessary.
The information provided as part of your application to AGL will be managed in accordance with the AGL Privacy Policy.
AGL does not accept agency submissions unless approval has been granted by a member of the Talent Acquisition team. Candidates submitted by an agency without approval will not be considered by AGL.
Location:
Docklands VIC 3008
Job Family Group:
Analytics and Data Science
