This is a Data Engineer role with one of the leading companies in AU right now Energy Australia with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the takes off. More About the Role at Energy Australia About the role… ‘Powering EnergyAustralia to make better data driven decisions towards a greener energy future’ Reporting to the Data Engineer Leader, the Data Engineer will work within an enterprise-wide data uplift squad & will support, design, build and deploy data solutions to enable effective and efficient value realisation from EnergyAustralia’s data. Additional responsibilities include: - Leverage the function’s patterns for appropriate ETL/data import and interfacing mechanisms such as consumption layer databases, APIs and caches - Support and development of the data products and platform - Support the formulation of data solution designs and architecture, and then leveraging these for support of the data platform and products, and delivery of new products. There will be some out-of-hours work required to support business-critical data products. - Review business requirements, create data mappings between systems, data profiling, query design, data flow design - Leverage DevSecOps principles utilising CI/CD workflows for accelerated development of infrastructure components and data ingestion pipelines Be Impactful when you are applying… You will have strong Engineering experience & exposure to Agile or DevOps delivery environments in both general and technology-specific applications. Also, you will have some of the following competencies; - Tertiary Qualification in computer science, information technology, business systems or other relevant tertiary qualification or equivalent significant practical experience. - Strong experience in building Data Engineering pipeline as well as exposure to Cloud Data Platforms - Experience designing, developing and in BIG DATA ETL tools like Talend, Matilion etc - Experience (and relevant certifications) in AWS cloud data environments including tools such as S3, EMR/EC2, Lambda, ECS, Redshift etc. - Strong big data processing and query language skills such as Python, PySpark, SPARK SQL,Scala etc - Experience working in analytics technical delivery team with data analysts, data scientists, solution/data designers and machine learning engineers. If you don’t think you're a perfect fit, you should still sign up to Hatch and create a profile, we'll match you to other roles that suit your profile. Hatch exists to level the playing field for people as they discover a career that’s right for them. We model this in our hiring process for our partners like Energy Australia. ✅ Applying here is the first step in the hiring process for this role at Energy Australia. We do not discriminate on the basis of gender identity, sexual orientation, cultural identity, disability, age, or any other non-merit factors. To put it simply, Hatch is for everyone.