What you'll be doing:
Building pipelines that take data in, validate and enrich it, then produce a final output
Converting old fee structures to a new system using configurable mapping rules
Calculating tiered pricing, tax treatment, and multi part payment splits in code
Checking data quality row by row and producing reconciliation reports
Writing tests that compare pipeline output against known positive results over time
Managing reference data covering roughly a hundred different fee types
Working closely with a product team rather than delivering in isolation
What we need to see:
Strong Python, comfortable keeping things lean rather than reaching for heavy libraries
Experience rebuilding business critical logic from an old system onto something recent
Real experience coding financial calculations, not just reporting on them
Reconciliation or audit style reporting you've built yourself
Solid SQL and comfort managing structured reference data
A genuine track record of testing data pipelines properly
AWS experience, though not necessarily with the big managed data platforms
Bonus points:
Background in payments, banking, or billing systems
Experience in a regulated financial environment
Exposure to tax treatment inside financial systems
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J-18808-Ljbffr
📌 Senior Data Engineer City Of Sydney
🏢 CircuIT Recruitment Group
📍 City of Sydney
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