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 clear 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.