Data Engineer - Hybrid, Databricks Lakehouse

Hanwha Energy Australia, part of the global Hanwha Group, is a fast-growing renewable energy company operating across utility-scale generation, storage, and distributed energy solutions. Through our consumer brand, Nectr, we deliver clean energy products, solar & battery installations, and innovative customer solutions nationwide.

As our business continues to scale, high-quality data engineering is essential to supporting smarter decision-making, better customer insights, and stronger operational performance across our energy retail and solar divisions. We are investing heavily in our data and analytics capability - and this is your chance to be part of that growth.

We're seeking a hands-onData Engineerto help build and optimise modern, scalable, and secure data platforms across the Hanwha/Nectr ecosystem.
This role reports to our Head of Data & Analytics and works closely with teams across Retail, Solar & Battery Installations, Operations, Finance, and Strategy.

You'll design and deliver reliable data pipelines, enhance our Databricks-based Lakehouse environment, and support reporting and analytics used by leaders across the business. If you love solving real-world problems with data and want to make an impact in the clean energy sector, you'll thrive here.

• Design and implement scalable data pipelines usingDatabricks, Delta Lake, and PySpark.
• Develop high-performanceETL/ELT workflowsusing Databricks Workflows, Airflow, or similar orchestration tools.
• Integrate data from APIs, SaaS applications, relational databases, and flat files.
• Ensure robustdata quality, lineage, governance, and metadata trackingacross datasets.
• Implementmonitoring and alertingto ensure pipeline reliability.
• SupportCI/CD workflows, Git-based development, and containerised deployments.
• Explore emergingDatabricks and AWS servicesto enhance our analytics ecosystem.

• Collaborate with analysts to support dashboarding inPower BI, Tableau, or Qlik.
• Optimise data models and tables for performance, accuracy, and usability.

You're someone who enjoys working end-to-end on data solutions and takes pride in building systems that teams can rely on every day. You communicate well, collaborate naturally, and enjoy improving tools, processes, and architecture over time.

• Strong experience withDatabricks, Delta Lake, notebooks, and large-scale data processing.
• Proficient inPython, SQL, and PySpark.
• Understanding of data modelling, governance, orchestration, and best-practice engineering.
• Comfortable withCI/CD, Git workflows, and containerisation.
• 3+ years' experiencein data engineering or a related analytics engineering role.
• Bonus: experience withPython ML workflowsor predictive analytics.
• Energy or utilities sector background is highly regarded.

• Positive, collaborative, and proactive approach.
• Strong problem-solving mindset with a focus on delivery quality.
• Ability to work both independently and in cross-functional teams.
• Curiosity to explore new technologies and continuously improve.

• Be part of a global business accelerating Australia's transition to clean, affordable energy.
• Work with modern data technologies and shape a growing analytics platform.
• Exposure to energy retail, solar & battery installations, and distributed energy innovation.
• Supportive team culture with opportunities for learning, ownership, and career growth.
• Competitive remuneration based on experience.
• North Sydney office with hybrid flexibility.