Data Engineer – Data & AI Practice
Melbourneonsitemid
Posted 1mo ago · via Workday
About this role
As a Data Engineer in our Data & AI Practice, you’ll play a hands-on role in delivering scalable, high-quality data solutions that power analytics, BI, and emerging AI use cases. Working in a fast-paced consulting environment, you’ll partner with internal teams and customer stakeholders to design, build and optimise modern data platforms. You’ll contribute directly to delivery—owning pipeline development, improving data quality, and enabling trusted, production-ready data assets. You’ll also leverage AI-augmented and agentic workflows to accelerate delivery, improve analysis, and enhance engineering outcomes—while maintaining strong technical judgement and accountability for production performance.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, sql, snowflake, databricks, aws…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Melbourne. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonsqlsnowflakedatabricksawsazurepysparkairflowdbtpandasteams