About the position
Own financedata end-to-end and build trusted, audit-ready data products in a regulated environment. Is this you? What you'll be doing Where you'll be doing it What you'll need What you'll get How to apply
You're detail-driven with a finance-first mindset and enjoy working at the intersection of data engineering and financial control. You're comfortable translating accounting and regulatory concepts into robust data logic,challenging data quality issues at source, and collaborating closely with Finance, Risk and Engineering teams. You take pride in ownership,documentation, and delivering work that stands up to audit scrutiny.
You'll design, build and operate finance-owned data products within a data mesh environment, ensuring financial data is accurate, reconciled, governed and reusable. This includes engineering ingestion pipelines from core banking, payments, sub-ledgers and ERP systems, implementing event-driven and batch processing, and building transformations from raw to reporting-ready [URL Removed] embed finance-grade data quality controls, reconciliation logic and lineage, enabling end-to-end traceability from transaction through to report,while supporting regulatory, financial and management reporting.
Our client is a well-established organisation operating in a highly regulated financial environment, recognised for its strong governance culture and modern data practices. Finance plays an active role as a data product owner, with aclear focus on accountability, control and collaboration. You'll join adelivery-focused team that values ownership, transparency and building data platforms that genuinely support business and regulatory outcomes.
You'll have 5-8+ years' experience in data engineering or analytics roles, with proven exposure to financial data in regulated industries. Strong SQL,experience with modern data platforms, event streaming, data modelling and transformation frameworks are essential, along with a solid understanding of financial concepts such as sub-ledgers, GL, reconciliations and controls. A relevant degree is required, with finance or cloud certifications advantageous.
A competitive, market-related salary, the opportunity to work closely with senior finance stakeholders, and the chance to build high-impact, trusted data products in a mature control environment.
For a confidential discussion please contact Judy Engelbrecht on [Phone Number Removed]; or send your CV to [Email Address Removed].We appreciate that your CV might not be fully up to date. No problem, just sendus what you have. We do respond to everyone! Just give us a few days to work through your application.
Desired Skills:
- data engineering
- financial data
- production-grade data pipelines
- SQL
- Modern Data PLatforms
- Kafka
- Data Transformation frameworks
- kimball dimensional modelling
- domain-owned data models
Desired Work Experience:
- 5 to 10 years
Desired Qualification Level:
- Degree
