Data Engineer | Financial Services | MSBI to Azure & ADF
- Join a financial services organisation modernising its enterprise data platform.
- Help migrate a legacy SQL Server data warehouse to Azure SQL Managed Instance.
- Design, build, test and support SQL, ETL/ELT and orchestration pipelines.
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
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Design, build, test and support SQL, ETL/ELT and orchestration pipelines
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Deliver migration work end to end: source-to-target mapping, scripting, reconciliation, cutover and handover to support
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Build relational and dimensional models and curated datasets for regulatory, management and analytical reporting
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Create reusable patterns for ingestion, validation, logging, alerting and reconciliation
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Apply DataOps discipline: source control, peer review, testing, deployment controls and rollback planning
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Embed data quality, lineage and control evidence into delivery, with clear runbooks and documentation
What you’ll bring
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5+ years in data engineering, BI, data warehousing or analytics delivery
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Advanced SQL Server skills: stored procedures, performance tuning and data modelling
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Azure SQL Managed Instance, Azure Data Factory or SSIS Integration Runtime
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Proven experience building, scheduling, reconciling and supporting ETL/ELT pipelines for material data flows
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Strong grounding in dimensional modelling, data quality controls and reconciliation
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Working knowledge of incident, problem and change management
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Clear communicator across technical, business and risk stakeholders
Nice to have
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Banking or financial services background
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Data warehouse or cloud migration experience
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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.
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