Data Engineer

Horizonpower

Bentley

On-site

AUD 110,000 - 150,000

Full time

12 days ago
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Job summary

HorizonPower is hiring a Data Engineer in Bentley, WA. You will join the Digital & Data Transformation team to build trusted data foundations powering reporting, analytics and AI capabilities that support regional communities across Western Australia.

You’ll connect data from multiple systems, create scalable pipelines and collaborate with BI Analysts and engineers to evolve Horizon Power's data ecosystem. If you enjoy solving complex data challenges and driving real business outcomes, this role

Qualifications

  • Proven experience delivering data engineering solutions and building scalable data pipelines.
  • Strong skills in SQL, Python and modern cloud-based data platforms.
  • Experience with Snowflake, Power BI and modern data architectures.
  • Experience designing real-time and event-driven data integration using Kafka.
  • Hands-on with data ingestion and CDC technologies (BryteFlow, Upsolver or similar).
  • Knowledge of batch and streaming data patterns and integrating enterprise systems into cloud analytics.

Responsibilities

  • Designing and delivering data solutions that create trusted, business-ready information.
  • Building and enhancing data pipelines that support reporting, analytics, and AI initiatives.
  • Partnering with stakeholders across the business to understand challenges and deliver practical solutions.
  • Contributing to the ongoing evolution of Horizon Power's data platforms and capabilities.
  • Working across both project delivery and operational support in a dynamic, fast-paced environment.
  • Driving continuous improvement through innovation, automation and best-practice engineering approaches.

Skills

SQL
Python
Snowflake
Power BI
Confluent Kafka
CDC tech
Data pipelines
Cloud platforms

Job description

Data Engineer

Location: Bentley, WA
Work Type: Full Time | Permanent
Build the Data Foundations Powering WA's EnergyFuture
Data is at the heart of everydecision we make.
As a Data Engineer at HorizonPower, you'll help shape the future of how data is leveraged across theorganisation. Working within our Digital & Data Transformation team, you'llbuild the trusted data foundations that enable reporting, analytics, operationalinsights and emerging AI capabilities that support regional communities acrossWestern Australia.
This is an opportunity towork on meaningful challenges, connecting data from multiple systems andtransforming it into scalable, reliable solutions that drive real businessoutcomes. You'll partner with stakeholders across the business, collaboratewith BI Analysts and fellow engineers, and play a key role in evolving HorizonPower's modern data ecosystem.

Why Join Us?

This is more than a technical role.
You'll join a collaborative, close-knit team where you'll have theautonomy to make decisions, contribute ideas and engage directly withstakeholders across the business. You'll work with modern technologies, helpinfluence our Data and AI journey, and contribute to projects that have agenuine impact on Western Australia's energy future.
We're looking for someone who's naturally curious, enjoys solvingcomplex problems and stays ahead of emerging technology trends. In return,you'll be trusted to own outcomes, drive improvements and make your mark.

What You’ll Do:
  • Designing and delivering data solutions that create trusted, business-ready information.
  • Building and enhancing data pipelines that support reporting, analytics, and AI initiatives.
  • Partnering with stakeholders across the business to understand challenges and deliver practical solutions.
  • Contributing to the ongoing evolution of Horizon Power's data platforms and capabilities.
  • Working across both project delivery and operational support in a dynamic, fast-paced environment.
  • Driving continuous improvement through innovation, automation and best-practice engineering approaches.
What You’ll Bring:
  • Proven experience delivering data engineering solutions and building scalable data pipelines.
  • Strong skills in SQL, Python and modern cloud-based data platforms.
  • Experience working with technologies such as Snowflake, Power BI and contemporary data architectures.
  • Experience designing and supporting real-time and event-driven data integration solutions using data streaming platforms such as Confluent Kafka.
  • Hands-on experience with data ingestion and change data capture (CDC) technologies, including tools such as BryteFlow, Upsolver or similar modern data integration platforms.
  • Knowledge of batch and streaming data patterns, data synchronisation, and integrating enterprise systems into cloud-based analytical platforms.
  • Exceptional stakeholder engagement and communication skills, with the ability to translate business needs into practical solutions.
  • A proactive, solutions-focused mindset with strong analytical and problem-solving capability.
  • The ability to manage multiple priorities, remain calm under pressure and deliver quality outcomes in a fast-paced environment.
Ready to Power WA's Future?

Applications close: 14/09/2026
Please note: In some cases, we may close advertising earlier than theclosing date, so don’t miss your chance!

Position Description - Data Engineer.pdf

Ourworkplace culture is created through every interaction, every experience andeverything we do.
Across our organisation, we recognise and reward people and offer work thatworks with you. We're committed to equality and celebrate the diversity ofrace, gender, sexual orientation, religion, ethnicity, and all characteristicsthat make our Horizon Power team so special. We strongly encourage applicationsfrom Aboriginal and Torres Strait Islander people. We are dedicated to ensuringthat all candidates have equal opportunity and, if you require any adjustmentsduring the recruitment process, please let us know - we’re here to supportyou. If you want more amazing reasons of why Horizon Power should be youremployer of choice, check our careers page to find out more. https://www.horizonpower.com.au/about-us/careers/

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