Analytics Engineer
electricit Perth, Western Australia, Australia
Utilities · 501-1,000 employees
About the role
The Analytics Engineer will design, build, and maintain data infrastructure to support asset performance and analytics across the company's energy portfolio. They will also collaborate with data scientists and engineers to operationalize machine learning models and ensure robust data integration.
What they look for
Requirements
Candidates must hold a tertiary qualification in a relevant discipline such as Data Science, Engineering, or Computer Science. Proficiency in data engineering tools like Databricks, SQL, Python, and cloud architectures is required.
Benefits
Full description
We're leading Western Australians to their intelligent energy future.
And we want you to be part of it.
You might know us as Western Australia's largest electricity generator and energy retailer, supporting 1.2 million customers across the state.
But what you might not know, is that we’re investing in renewable energy projects, including wind farms and big batteries, to help build a more sustainable and reliable future.
Our Big Battery is now live in Kwinana, we’re expanding the Warradarge Wind Farm, the WA EV Network has launched, and we have many other projects in the works.
We're a purpose-driven organisation, owned by the people of WA. Our commitment is to ensure all Western Australians have access to secure, reliable, and sustainable energy.
We believe that the benefits of renewable energy aren’t just for some, they're for everyone.
This is where you come in.
Role Description:
The Analytics Engineer role is a 12 month fixed term opportunity in our Future Energy team based at our Central Park office in Perth.
The successful candidate will be responsible for designing, building, and maintaining the data and analytics infrastructure that underpins asset performance and analytics across Synergy’s Distributed Energy Resources (DER) and generation portfolio. This role bridges the gap between raw operational data and actionable insight – ensuring that data from BESS, solar, wind, VPP, and EV assets is modelled, integrated, and surfaced in a way that enables data-driven decision-making across the Future Energy business unit.
Working alongside the Data Scientist and Senior Asset Engineer, this role owns the data engineering layer: pipelines, schemas, platform integration, and analytical tooling. The Analytics Engineer ensures the team’s analytical and engineering outputs are built on robust, scalable, and well-governed data.
Job responsibilities:
- Design, develop, and maintain data pipelines and ETL/ELT workflows to ingest, transform, and integrate data from OT/SCADA, BMS, databases, metering, and third-party platforms (e.g., Third Party Vendors, AEMO) into structured analytical environments.
- Build and maintain data models and schemas that support asset performance monitoring, predictive analytics, and regulatory reporting across BESS, solar, wind, VPP, and broader DER assets.
- Develop and manage dashboards, reports, and self-service analytics tools (e.g., Power BI, Databricks notebooks) that surface fleet-level and asset-level performance insights to operational and executive stakeholders.
- Collaborate with the Data Scientist to operationalise machine learning models – ensuring models are deployed into production-ready pipelines with appropriate monitoring, versioning, and data quality controls. You will need to work with the Senior Asset Engineer to translate engineering requirements into data specifications, ensuring analytical outputs align with asset management and ISO 55001 frameworks.
- Contribute to the DER Reporting, Analytics & Digital Roadmap, identifying opportunities to improve digital maturity and analytical capability across the portfolio.
What you will bring:
- Tertiary qualification in Data Science, Data Engineering, Computer Science, Software Engineering, Engineering or a related discipline.
- Demonstrated experience with data engineering tools and platforms, including Databricks, SQL, databases, Python, and cloud-based data architectures. Proficiency in data modelling, schema design, and database management (relational and/or Lakehouse architectures).
- Experience building and maintaining dashboards and analytical reporting tools (e.g., Power BI, or equivalent).
- Strong understanding of ETL/ELT pipeline design, data integration patterns, and data quality frameworks.
- Strong problem-solving skills with a bias toward practical, scalable solutions over theoretical perfection.
So, what's it like working for Synergy?
As one of Australia's most trusted utility brands, we value our customers, the community we operate in, and our people. When you work with us, you'll be joining an inclusive and proactive organisation, one that enables innovative thinking, accountable leadership, and collaboration. It's how we're creating an exceptional workplace, and we want you to be part of it.
At Synergy we have a wide range of benefits designed to help you balance your work and home life, support your health and wellbeing along with having access to professional development opportunities.
Here's a just a few of the benefits you'll have access to as a Synergy employee:
- Flexible work arrangements
- Generous paid parental leave
- Other leave options including reproductive and purchased annual leave
- Volunteer leave so you can give back to your community
- Learning and development opportunities
More details can be found here
At Synergy we believe in creating an inclusive and diverse workplace where everyone can thrive and feel a true sense of belonging. We're proud to be recognised as an inclusive employer by the Diversity Council of Australia. We celebrate our diversity and warmly welcome applications from individuals of all backgrounds, especially those from underrepresented groups.
Have we sparked your interest? We hope so. It’s an exciting time for energy in Western Australia – and you’re connected to it.
Click 'Apply' below to get started with your application.
Applications close Sunday the 30th of August 2026, however Synergy reserves the right to close applications when a suitable pool of candidates is identified.
#S-DNI
Need some help?
Get in touch with our Talent Acquisition team at recruitment@synergy.net.au
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