Data Centre Engineer jobs

About ElectraNet

ElectraNet builds, owns, operates and maintains the high voltage electricity transmission network which delivers the energy South Australians rely on to power our homes, businesses and communities. As an industry leader, we’re at the forefront of the clean energy transition, socially and environmentally ambitious and committed to creating opportunities for people and nature to thrive. We’re equally committed to a workplace culture where people feel safe, supported and empowered to speak up, manage risk, and learn and grow together.

Employee Benefits

We’re proud to offer a workplace that is supportive, inclusive and genuinely committed to your success.

When you join ElectraNet, you join a team that values diversity, collaboration and continuous learning.

We offer a competitive remuneration package starting at $146,000 plus superannuation and a performance bonus eligibility of up to 15%.

In addition to this, we also offer:

• 5 weeks annual leave
• 15 days personal/carer’s leave
• 16 weeks paid parental leave
• Flexible work options & wellbeing programs
• Additional paid volunteering and office closure leave
• Ongoing professional development and certification support
• A vibrant and community focused team culture
• Regular social events and activities.

Visit our careers page to read more about our employee benefits.

Beyond the benefits, discover a rewarding career with:

• Exciting and impactful projects across South Australia.
• A welcoming and inclusive company culture with a strong team spirit.
• Exceptional opportunities for career development and ongoing support.
• Support for professional certifications and memberships.
• Regular social events and team activities.

The Opportunity

Step into a hands-on Data Engineer role at the centre of building a modern, trusted data environment that underpins enterprise decision making.

You will play a critical role in transforming fragmented and inconsistent data into high quality, analytics ready assets, directly enabling reporting, insights and strategic outcomes across the business.

Working within and contributing to established architecture, governance and platform standards, you’ll take ownership of end-to-end data solutions while collaborating closely with stakeholders to ensure data is reliable, secure and aligned to business needs and analytical consumption patterns.

Beyond pipeline development, this role extends into data modelling, analytical enablement and platform design, requiring an engineer who can shape how data is structured, understood and consumed, not just how it is moved.

Success in this role will see you delivering scalable, well governed data pipelines and models that drive confidence in data and unlock tangible business value.

• End-to-end ownership of data solutions. Design, build and operate ingestion, transformation and orchestration pipelines, while applying modern data engineering patterns across batch, streaming and event-driven architectures where appropriate.
• Shape high quality, analytics ready data, develop and maintain curated data models aligned to business definitions, embedding strong data quality, lineage, governance and security practices.
• Drive continuous improvement and engineering excellence, optimise ELT/ETL patterns, enhance scalability and cost efficiency, and proactively resolve complex data issues through root cause analysis and preventative controls.
• Deliver impact through stakeholder partnership, work closely with data owners, governance and business stakeholders to translate requirements into practical solutions that support reporting, analytics and decision making.
• Contribute to data modelling and semantic design, developing dimensional and analytical models that support reporting, self-service analytics and downstream consumption patterns.
• Apply technical data analysis and profiling techniques to understand source systems, validate transformations and support data discovery during solution design.
• Work across modern data platforms (e.g. Azure, Fabric and beyond), applying portable engineering patterns and avoiding vendor lock-in through well-designed abstractions and standards.

About You

We are seeking a proactive and technically strong Data Engineer who brings a blend of hands-on engineering expertise, structured thinking and a passion for building reliable, high quality data solutions.

You will be someone who thrives in a collaborative environment, takes ownership of outcomes and is comfortable working across both technical and business stakeholders to translate needs into practical, scalable solutions.

Your approach will be grounded in strong engineering discipline, with a focus on data quality, governance and continuous improvement, and you will bring a mindset of accountability, curiosity and resilience when solving complex data challenges.

• Proven data engineering capability, including hands-on experience designing, building and operating modern data pipelines, strong SQL and Python skills with data modelling expertise (dimensional, analytical and lakehouse patterns), and the ability to perform technical data analysis to understand and shape source data.
• Strong focus on data quality and governance, the ability to embed validation, lineage, security and governance into solutions, ensuring data is trusted, auditable and fit for purpose.
• Engineering mindset with a focus on reliability and scale, experience delivering scalable, cost-effective solutions, diagnosing complex issues and continuously improving performance and resilience.
• Effective communicator and collaborator who is able to translate business requirements into clear engineering outcomes, working closely with stakeholders to deliver practical, value driven solutions.
• Strong understanding of data modelling principles, including dimensional modelling, normalisation trade-offs, and designing data structures for analytics, performance and usability.
• Experience with Microsoft Azure and Fabric, with broader exposure to platforms such as Snowflake or Databricks desirable, and the ability to apply core engineering principles across technologies rather than relying on platform-specific solutions.
• Ability to think analytically about data, interpret data patterns and anomalies, and work with stakeholders to refine definitions, metrics and data structures.
• Familiarity with DataOps and software engineering practices, including version control, CI/CD, automated testing and monitoring of data pipelines.

How To Apply

Please apply online via our careers page before 03 August 2026. Interested applicants are encouraged to apply as soon as possible, as interviews and appointments may occur prior to the closing date. Applicants can also register for job alerts via our careers page.

Successful applicant will be required to undergo background checks. These checks may include global criminal history checks, reference checks, and validation of qualifications, employment history, Australian work rights, and any additional checks depending on the role.

We strongly encourage Aboriginal and Torres Strait Islander people to apply.

ElectraNet is committed to creating a diverse and inclusive workplace.

We value the unique perspectives and experiences that Aboriginal and Torres Strait Islander people bring to our team.

We are proud to be a Work180 Endorsed Employer. You can read more about our key benefits, including flexible work options, leave and other supports, here.