Senior Data Engineer

Munro Footwear Group; City of Melbourne; On-site; AUD 140,000 - 180,000; Full time

Job summary

Munro Footwear Group is seeking an experienced Senior Data Engineer in Australia to shape our enterprise data platform. You will design and operate scalable pipelines, models and BI-ready data assets across the organisation, partnering with analytics, engineering and business stakeholders.

You’ll apply modern software practices, ensure data quality and governance, and continuously improve the performance and scalability of our Azure-based data stack to power reporting and decision-making.

Qualifications

• 5+ years of experience in data engineering or software engineering with a data focus.
• Proficient with Azure data stack and BI tools.
• Experience delivering production-grade data pipelines.
• Retail industry experience preferred.

Responsibilities

• Design, build and maintain scalable data pipelines using Azure Data Factory, Databricks and Microsoft SQL Server.
• Develop robust ETL/ELT processes that support enterprise reporting, analytics and business intelligence.
• Build and optimise semantic layers and data models for Power BI.
• Partner with analysts, engineers and business stakeholders to translate data requirements into scalable technical solutions.
• Champion data quality, governance, security and best practices across our data ecosystem.
• Apply modern software engineering practices including testing, monitoring, logging and automation.
• Implement and maintain CI/CD pipelines using Azure DevOps.
• Continuously improve the performance, reliability and scalability of our Azure data platform.

Skills

Stakeholder communication

Data modelling

Problem solving

Tools

Azure Data Factory

Databricks

Microsoft SQL Server

Python notebooks

Spark

Delta Lake

Lakehouse

Power BI

Azure DevOps

Job description

At Munro Footwear Group (MFG), we're looking for an experienced Senior Data Engineer to help shape the future of our enterprise data platform. Reporting to the Head of Engineering, you'll play a key role in designing, building and optimising scalable data solutions that power business intelligence, analytics and data-driven decision making across the organisation. This is a hands-on technical role where you'll work closely with engineering, analytics and business stakeholders to deliver reliable, high-performance data platforms and pipelines.

The role

• Design, build and maintain scalable data pipelines using Azure Data Factory, Databricks and Microsoft SQL Server
• Develop robust ETL/ELT processes that support enterprise reporting, analytics and business intelligence
• Build and optimise semantic layers and data models for Power BI
• Partner with analysts, engineers and business stakeholders to translate data requirements into scalable technical solutions
• Champion data quality, governance, security and best practices across our data ecosystem
• Apply modern software engineering practices including testing, monitoring, logging and automation
• Implement and maintain CI/CD pipelines using Azure DevOps
• Continuously improve the performance, reliability and scalability of our Azure data platform

About you

• You'll be a technically strong Data Engineer who can solve complex data challenges and build scalable solutions.
• 5+ years of experience in data engineering or software engineering with a data focus
• Proven hands-on experience with Azure Data Factory, Databricks and Microsoft SQL Server (essential)
• Retail industry experience or exposure to common data models
• Experience delivering production-grade data pipelines
• Proficient with Python notebooks, Spark-based transformations, ML pipelines
• Familiarity with Lakehouse architecture, Delta Lake, and event-driven
• Strong communication and stakeholder management skills
• Experience handling large-scale, real-time, or batch workloads

About us

With more than 250+ stores and 2200+ employees nationally, we are Australia's leading retailer and wholesaler of fashion and comfort footwear, owning and operating some of Australia's most iconic brands, including Bobux, The Trybe, Midas, mollini, Mathers, Williams, diana ferrari, and Australia's largest online footwear retailer, Styletread! If you're looking for an opportunity to build scalable data solutions, work with modern Azure technologies and influence the future of enterprise data at Munro Footwear Group, we'd love to hear from you.