Data Engineer | Financial Services | Sydney | 12 Month FTC The role

Join a financial services organisation modernising its enterprise data platform. You’ll help migrate a legacy SQL Server data warehouse to Azure SQL Managed Instance, building secure, tested and well-monitored data solutions that the business can rely on.

What you’ll do

- Design, build, test and support SQL, ETL/ELT and orchestration pipelines
- Deliver migration work end to end: source-to-target mapping, scripting, reconciliation, cutover and handover to support
- Build relational and dimensional models and curated datasets for regulatory, management and analytical reporting
- Create reusable patterns for ingestion, validation, logging, alerting and reconciliation
- Apply DataOps discipline: source control, peer review, testing, deployment controls and rollback planning
- Embed data quality, lineage and control evidence into delivery, with transparent runbooks and documentation

What you’ll bring

- 5+ years in data engineering, BI, data warehousing or analytics delivery




- Advanced SQL Server skills: stored procedures, performance tuning and data modelling
- Azure SQL Managed Instance, Azure Data Factory or SSIS Integration Runtime
- Proven experience building, scheduling, reconciling and supporting ETL/ELT pipelines for material data flows
- Strong grounding in dimensional modelling, data quality controls and reconciliation
- Working knowledge of incident, problem and change management
- Clear communicator across technical, business and risk stakeholders

Nice to have

- Banking or financial services background
- Data warehouse or cloud migration experience
- Power BI, Fabric, Databricks, Purview, CI/CD, Python or PySpark

Why apply Hands-on work on a major warehouse migration, exposure to governance, architecture, risk and reporting teams, and real scope to lift engineering and automation practices.

📌 Data Engineer | Financial Services | MSBI to Azure & ADF (Sydney)
🏢 Tom
📍 Sydney