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.
The Opportunity
We're seeking a hands-on
Data Engineer
to 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.
Key Responsibilities
Design and implement scalable data pipelines using
Databricks, Delta Lake, and PySpark
.
Develop high-performance
ETL/ELT workflows
using Databricks Workflows, Airflow, or similar orchestration tools.
Integrate data from APIs, SaaS applications, relational databases, and flat files.
Ensure robust
data quality, lineage, governance, and metadata tracking
across datasets.
Implement
monitoring and alerting
to ensure pipeline reliability.
Support
CI/CD workflows
, Git-based development,



and containerised deployments.
Explore emerging
Databricks and AWS services
to enhance our analytics ecosystem.
Analytics & Reporting Enablement
Collaborate with analysts to support dashboarding in
Power BI, Tableau, or Qlik
.
Optimise data models and tables for performance, accuracy, and usability.
About You
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.
Experience & Skills
Strong experience with
Databricks, Delta Lake
, notebooks, and large-scale data processing.
Proficient in
Python, SQL, and PySpark
.
Understanding of data modelling, governance, orchestration, and best-practice engineering.
Comfortable with
CI/CD
, Git workflows, and containerisation.
3+ years' experience
in data engineering or a related analytics engineering role.
Bonus: experience with
Python ML workflows
or predictive analytics.
Energy or utilities sector background is highly regarded.
Personal Attributes
Positive, collaborative, and proactive approach.
Robust 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.
Why Join Us
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.
#J-*****-Ljbffr

📌 Data Engineer (Sydney)
🏢 Nectr
📍 Sydney