Cloud Data Engineer for Sustainable Energy Solutions

2 weeks ago


Melbourne, Victoria, Australia Energy Australia Full time

At EnergyAustralia, we are committed to harnessing the power of data to drive a greener energy future. As a Senior Data Engineer, you will play a pivotal role in designing and building innovative data solutions that enable our organisation to make informed decisions and achieve its sustainability goals.

About the Role

This is an exciting opportunity to join our Data Engineering team and contribute to the development of cloud-based data platforms that support our business objectives. As a senior member of the team, you will work closely with our Data Product team to design, build, and deploy data solutions that drive value realisation from our data assets.

Your key responsibilities will include:

  • Leveraging AWS analytics ecosystem to build scalable and secure data ingestion and integration pipelines
  • Supporting the development of data products and platform, including design, architecture, and implementation
  • Mentoring junior developers in the department to ensure knowledge sharing and skills transfer
  • Reviewing business requirements and creating data mappings between systems, data profiling, query design, and data flow design
  • Leveraging DevSecOps principles and CI/CD workflows to accelerate development and delivery of infrastructure components and data ingestion pipelines

You will have strong experience in engineering and exposure to Agile or DevOps delivery environments. Additionally, you will possess some of the following competencies:

  • Tertiary qualification in computer science, information technology, business systems, or other relevant field
  • Extensive experience in building data engineering pipelines and exposure to cloud data platforms
  • Expert-level hands-on experience with Databricks, AWS cloud data environments, S3, EMR/EC2, Lambda, Redshift, Kafka/Kinesis, Spark streaming with Python or Scala, Apache Airflow, and similar orchestration services on cloud
  • Big data and query language skills such as SQL, Java, Python, R, PySpark
  • Experience establishing, curating, and maintaining logical and physical data models

We offer a competitive salary of approximately $150,000 per annum, plus benefits such as annual performance bonus, discounts on gas and electricity, hybrid working environment, Energise Program, excellent company culture, and state-of-the-art office facilities.



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