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
Robust grounding in dimensional modelling, data quality controls and reconciliation
Working knowledge of incident, problem and change management
Transparent 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