We are currently looking for a Senior Data Engineer based in Melbourne to join exciting Data Product strategy, working to design, build and deploy data solutions for the business. As a part of this strategy, you will be contributing to the AWS analytics ecosystem with a key focus of data ingestion and integration work that will drive value and greater insights across the organisation.

Key Deliverables:

Data Engineering: Contribute and leverage data engineering principles, pipelines, frameworks, patterns, tooling, processes and standards. Support and development of the data products and platform.

Delivery Excellence: Work as a Senior Data Engineer within the squad, delivering pipelines and improve existing capabilities and performance.

Team Development & Culture: actively grow self and mentor junior team members on data engineering skills and contribute to the team's technical capability.

Stakeholder Management: Collaborate and engage with business stakeholders to ensure data engineering requirements and builds are met.

Continuous Improvement: Contribute to evolving the function's capabilities to drive efficiencies and uplift the strategy.

Required Skills & Experience:

Extensive experience in Data Engineering (Databricks is a must), as well as exposure to Cloud Data Platforms.

Expert level hands-on experience in AWS cloud data environments (S3, EMR/EC2, Lambda, Redshift).

Strong big data and query language skills (SQL, Python, R, PySpark).

Experience designing, developing and running DevOps and CI/CD frameworks.

Extensive experience working in an analytics technical delivery team, utilising stakeholder management skills in an Agile environment.

If you're interested in the above, please apply through the link provided. Successful candidates will be shortlisted and contacted if successful.