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Senior Data Engineer - Microsoft Fabric (Snowflake or Databricks)

MIPSydney, New South Wales🇦🇺Australia

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationSydney, New South Wales, Australia
SQLGitAWSSnowflakeTableauDatabricksGitHub ActionsPythonTerraformdbtAzurePower BICI/CDAzure DevOps

Job description

Senior Data Engineer - Microsoft Fabric (Snowflake or Databricks)

We're growing our data engineering practice and need a Senior Data Engineer who can own delivery as well as build. This person will lead project squads - running stand-ups, managing scope, keeping RAID up to date, and reporting to stakeholders - while also being hands on in Microsoft Fabric. Snowflake or Databricks is a nice to have. This role is for someone who can keep a data project on track, on budget, and visible to the business.

Note: the role requires the candidate to be Sydney-based, able to work a minimum of 4 days per week in the office, and to have full working rights in Australia.

Core Responsibilities:

  • Lead delivery for a small data squad: plan iterations, run ceremonies, manage scope and risks, maintain RAID, and provide regular status updates to stakeholders.
  • Work with architects/consultants on solution design, estimation and SoWs; demo increments to business/exec users.
  • Design and build scalable data models and pipelines on Microsoft Fabric (OneLake, Lakehouse, Pipelines, Dataflows Gen2, Semantic Models) and at least one of Snowflake or Databricks.
  • Implement notebook/dbt transformations (tests, docs, exposures) and enforce best practices (modularity, lineage, CI checks).
  • Set up CI/CD for data projects (Git, Azure DevOps or GitHub Actions).
  • Optimise performance and cost (Fabric capacities, pipeline runtimes; Snowflake warehouses or Databricks clusters).
  • Ensure security and governance (RLS/column security, PII handling, Purview/lineage).
  • Keep documentation, patterns, and reusable components current for the practice.

Required Qualifications:

  • 5-10+ years in data engineering in consulting or complex enterprise environments.
  • Sydney-based and able to work a minimum of 4 days per week in the office.
  • Must have full working rights in Australia.
  • Proven experience leading project workstreams/small teams - sprint planning, stakeholder comms, status reporting, risk management.
  • Strong hands on with Microsoft Fabric and at least one of Snowflake or Databricks.
  • Solid CI/CD for data, strong SQL and Python, familiarity with Parquet/Delta/Iceberg.
  • Excellent communication skills - able to talk to both engineers and business.

Nice to have

  • AWS data stack, Terraform/Bicep, AWS DMS.
  • Data governance & lineage (Purview), RLS/CLS, masking.
  • Testing/observability tools (Great Expectations, Soda, Monte Carlo/Revefi).
  • Power BI/Tableau, DAX/Tabular.
  • Formal PM experience or having acted as a project lead on data deliveries.
What you'll get in return:

Work with marquee Australian clients on modern stacks (Snowflake, Fabric, Databricks). Real ownership with support from senior architects and practice leads. Flexible hybrid work and a supportive culture.

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