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Specialisms - Data Engineering - Fintech
Fintech data engineering is regulatory-grade plumbing: risk and capital reporting pipelines that cannot be wrong, real-time transaction streams that cannot be late, and the data foundations every fraud and credit model depends on. Re:Sourced recruits the senior data engineers who have built these systems under audit.
The profile
Three problem classes dominate: regulatory reporting pipelines (APRA returns, AML/CTF transaction monitoring feeds) where lineage and reconciliation are non-negotiable; real-time streaming for payments and fraud (Kafka, Flink at transaction scale); and the lakehouse platforms that serve both ML features and finance reporting from governed data.
The scarce capability is reconciliation discipline - engineers who treat a one-cent break as a production incident. Bank-trained data engineers bring it by default; scale-up-only careers sometimes lack it. The strongest candidates have both.
Bands and sourcing
Senior data engineers with regulated-environment experience price within the standard band (AUD 160-190k base in Sydney, base only, 25th-75th percentile) but close faster and counter-offer harder, because every bank and payments company needs the same profile.
The reliable sourcing pattern runs both directions: bank data engineers seeking scale-up velocity, and scale-up engineers seeking the scale and stability of regulated platforms. We maintain calibrated relationships across both pools.
Submit a brief
30 minute working session. No fee until placement. Replacement inside 90 days.