We’re looking for a Senior Data Engineer who combines strong engineering depth with the ability to operate confidently in a consulting environment.

This is not just a hands-on build role. You’ll be expected to understand the client problem, shape the solution, make sound technical decisions and help lift the capability of the people around you.

You’ll work across modern data platforms, cloud settings and large-scale transformation projects, with the opportunity to move between clients, industries and technologies.

What you’ll be doing
Architecting and building complex, scalable data pipelines
Designing modern data platforms and cloud-based solutions
Working hands-on across Python, SQL, Spark / PySpark and Databricks
Leading technical design and contributing to architecture decisions
Conducting code reviews and mentoring engineers




Working directly with clients to understand problems and shape practical solutions
Driving secure, resilient and cost-effective engineering outcomes

What we’re looking for
5+ years’ experience across Data Engineering or Software Engineering
Robust Python and SQL
Databricks and Spark / PySpark
Git, CI/CD and up-to-date engineering practices
Experience across AWS, Azure or GCP
Consulting or highly client-facing delivery experience
Strong communication, commercial judgement and high EQ
Ability to work at pace and adapt quickly across changing environments
Relevant technical degree

The Senior role is specifically positioned as the lead builder and technical mentor, with responsibility across architecture, code quality, mentoring and end-to-end delivery.

📌 Senior Data Engineer Consultant Sydney (Australia)
🏢 Correlate Resources
📍 Australia