Senior Data Engineer - Microsoft Fabric (Snowflake Or Databricks)

Mip; Sydney; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Flexible hybrid work model

Exposure to marquee Australian clients

Job summary

Mip is seeking a Senior Data Engineer to own delivery and hands-on work with Microsoft Fabric, with Snowflake or Databricks as a nice-to-have. The role is Sydney-based, requiring 4+ days in the office and full Australian work rights. You will lead data squads, design data models, and drive CI/CD and governance across projects.

Strong SQL and Python are essential, along with leadership and excellent communication with both engineers and business stakeholders. Flexible hybrid work is offered.

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.
• Strong hands-on with Microsoft Fabric and at least one of Snowflake or Databricks.
• Solid SQL and Python skills; familiarity with Parquet/Delta/Iceberg.
• Excellent communication skills with engineers and business stakeholders.

Responsibilities

• Lead delivery for a small data squad: plan iterations, run ceremonies, manage scope and risks, maintain RAID, and provide regular status updates.
• 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 and Snowflake/Databricks.
• Implement notebook/dbt transformations 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 and reusable components current for the practice.

Skills

SQL

Python

Microsoft Fabric

Leadership

CI/CD

Communications

Tools

Git

Azure DevOps

GitHub Actions

dbt

Job description

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.