Senior Data Engineer – Data & AI Practice
Melbourneonsitesenior
Posted 1mo ago · via Workday
About this role
As a Senior Data Engineer , you’ll play a key role in designing, building and optimising scalable data solutions on modern cloud platforms, particularly Databricks and Snowflake . This is a hands-on engineering role for someone who thrives in complex environments—comfortable owning end-to-end delivery, working autonomously, and partnering closely with both client-side engineers and internal teams to solve real-world data challenges. You’ll bring strong technical judgement and the ability to navigate ambiguity, delivering high-quality solutions without close supervision while contributing to broader platform and architecture decisions.…
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: sql, snowflake, databricks, pyspark, kafka…
2
Level fit
This role is senior-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.
sqlsnowflakedatabrickspysparkkafkaairflowdbtteams