Sydney
If you want to work in an environment where you can innovate, automate, and shape how data is used across the business, this role gives you the freedom to do exactly that.
You'll collaborate with a highly skilled team to design and deliver end?to?end cloud data solutions, bringing together engineering best practice, automation, and customer?centric thinking. If you're driven by clean architecture, reliable pipelines, and meaningful outcomes, you'll feel right at home here.
What you'll be doing:
Work with the business in designing and delivering data-driven products and promoting a data-driven culture
Work to build scalable data engineering solutions that can move data between systems/platforms, these could be real-time, event drive or batch runs.
Build and maintain reference data for teams to have essential lookups enabling the understanding of data definitions and version controls.
Development of tools that enable clients to interface with their data for purposes such as analysis and data visualisation.
Work with Engineers to develop data solutions
Collaborate with Business to productionise and deploy models
Build Data Pipelines for Regulatory reporting
Design cloud infrastructure solutions
What you offer;
5+ years' experience in Data Engineering or Python backend development, or strong interest in transitioning into Data Engineering
Strong Python expertise, with hands-on experience across backend and data engineering
Proven experience working with modern data platforms, including cloud data lakes, Apache Iceberg, Airflow and dbt
Demonstrated ability to design, build and maintain scalable backend services and APIs
Experience developing robust data pipelines for both structured and unstructured data
Solid background in microservices architecture, with a focus on Kubernetes and CI/CD best practices
Good understanding of cloud-native environments and integrating data and security tooling
Commitment to high-quality, reliable code through testing, automation and engineering best practices.
Mane Consulting specialise in Data & Analytics. For more information on this role or others like this in the market apply below or contact chessan.fernando @mane.com.au