Global Financial Services Group Market leading bonus on offer Hybrid and Flexible Working Arrangements 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 flexible Competitive rate — $950–$1,050/day + super; potential extension into Phase 2/3 THE PROCESS One-round interview (contract hire) - rapid decision Interview panel: Hiring manager + program lead Start: ASAP preferred - flexible notice period INTERESTED?
Reach out to Lee Bartlett at ****** - happy to discuss the brief, your background and next steps.
Referral scheme: Know a great data engineer?
Pass it on - we reward successful referrals.
Consultant ****** Reference number: BH-***** Profession:Data AnalyticsData Engineering Company: Bluefin Resources Date posted: 17th Aug, ****

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