Data Engineer - Snowflake (4 Positions Available)New
ABOUT THE ROLE
A leading Australian university is launching a strategic data transformation program (Digital Sydney) targeting ****. We're recruiting 4 Data Engineers to build and support Phase 1 of the HR data stream - designing and implementing ingestion pipelines, transformations, and governed data exposure on Snowflake/AWS.
WHAT YOU'LL DO
Design and build Talend ingestion pipelines + downstream SQL/Python transformations
Follow established architectural patterns and frameworks (rapid delivery focus)
Collaborate on code review, design validation and testing with the team
Optimize Snowflake performance, manage data governance (tagging, RBAC, lineage)
Document code, pipelines and architectural decisions for handoff
Support phase transitions and capability-building within the team
We're hiring for 4 specialiSations:
1x Data Modeling:
Schema design, dimensional/relational modeling, Erwin, normalization trade-offs
2x Full Pipeline Build:
End-to-end ingestion→exposure, rapid delivery, framework adherence
1x Security & Governance:
RBAC, masking, tagging, audit, compliance
WHAT WE'RE LOOKING FOR -
Must-Have Experience (All 4):




More than 5 years data engineering on modern platforms (Snowflake, BigQuery, Redshift, or similar)
Hands-on AWS + Snowflake delivery - built and shipped pipelines
ETL/data pipeline coding (Python, SQL, or Scala) - comfortable debugging and optimizing
Ability to follow architectural guardrails - delivery-focused, not reinventing per project
Nice-to-Have:
Talend, Informatica, or iPaaS experience
Data governance / compliance background
University or HR systems knowledge
WHY THIS ROLE
Strategic scale — Multi-year program (Phase 1 → ****) with genuine platform-building impact
Modern stack — Snowflake on AWS, Talend, frameworks-driven (not legacy ETL)
Team environment — Work with experienced lead and 3 peer engineers; learn and grow
Hybrid flexibility — 2-3 days on-campus, rest versatile
Competitive rate — $950–$1,050/day + super; potential extension into Phase 2/3
THE PROCESS
One-round interview (contract hire) - fast decision
Interview panel: Hiring manager + program lead
Start: ASAP preferred - flexible notice period
Referral scheme:
Know a great data engineer? Pass it on - we reward successful referrals.
#J-*****-Ljbffr

📌 Data Engineer - Snowflake (4 Positions Available)Just Posted! (New South Wales)
🏢 Bluefin Resources
📍 New South Wales