Senior Data Engineer - Azure Data Platform & BI Pipelines

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

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.