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Specialisms - Data Engineering - Fintech

Data engineers, for 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

What fintech data engineers actually do.

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

The fintech data market in 2026.

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.

Related

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Common questions

Frequently asked.

What do fintech data engineers do?

They build regulatory-grade pipelines: risk and capital reporting that cannot be wrong, real-time transaction streams that cannot be late, and the data foundations fraud and credit models depend on.

What do fintech data engineers earn in Sydney?

Senior fintech data engineers in Sydney run AUD 160-190k base, base only, 25th to 75th percentile of accepted offers, but close faster and counter-offer harder than the band suggests.

Why do fintech data roles close fast?

Demand is broad and uniform. Every bank and payments company needs the same audited-pipeline profile, so candidates field multiple offers and counter-offer hard.

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Hire fintech data engineers.

30 minute working session. No fee until placement. Replacement inside 90 days.