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Tallentire O'Flynn Movsowitz

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Data Engineer | Financial Services | MSBI to Azure & ADF

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Summary

12-month fixed-term data engineer role at a Sydney financial services organisation, migrating a legacy SQL Server data warehouse to Azure SQL Managed Instance. Day to day you build ETL/ELT and orchestration pipelines with Azure Data Factory, model data for regulatory and analytical reporting, and embed data quality, testing and monitoring practices.

Salary: $140,000 – $150,000 per year

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.

Skills

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