Senior Data Engineer

4 days ago

Brisbane, Queensland, Australia Latitude IT Full time $104,000 - $155,000 per year

Senior Data Engineer

Location:
Brisbane City - Hybrid

In-Office:
1-2 days per week with flex on days

Package:
Up to $155k base + super + 10% bonus

The Opportunity:

One of Australia's leading QSR brands seeks a talented Senior Data Engineer to take ownership of a Snowflake and Azure Data Factory landscape that sits behind millions of customer orders.

This is a tech-first, AI-driven business with a close partnership with Microsoft, where experimenting with new AI tools is part of how you work, not something you do on the side.

You will join a sharp, seven-person data integration team, working alongside a Data Integration Manager and a dedicated architecture function. Your job is to transform raw, messy data into trusted pipelines that fuel real-time insights, better customer experiences, and more intelligent decisions across every corner of the business.

What you'll do:

  • Collaborate with stakeholders and the Data Integration Manager to define requirements and deliver projects on schedule.
  • Embed data compliance, including GDPR and PII handling in Snowflake, into everything you design
  • Design, build and run scalable data integration solutions and pipelines across internal and external systems.
  • Orchestrate, cleanse and transform data so it is reliable, secure and ready for analytics and product teams.
  • Set and refine standards, patterns and best practices for data integration across the platform.
  • Collaborate with data engineers, software engineers and BI developers to deliver end-to-end solutions.
  • Mentor junior team members and help lift the capability of the wider data team
  • Partner with BI Operations on releases, change control and production readiness
  • Keep documentation sharp and up to date, with accurate time logging against project work

What you bring:

  • Full Australian citizenship or permanent residency
  • 5+ years of hands-on experience with Snowflake and Azure Data Factory
  • IT degree or 5+ years in a data engineering or data-focused role
  • 5+ years using T SQL and SQL Server (2008 or later) with strong ETL skills, including SSIS and ADF
  • Solid data modelling and deep dive analysis skills
  • Experience with cloud-based data platforms and modern data architectures
  • Practical experience with JavaScript or Python, plus REST APIs and at least one OOP language such as C# or Java
  • Data visualisation experience with tools such as Grafana, Power BI or SSRS
  • Working knowledge of GDPR and secure handling of PII in Snowflake
  • Comfortable working in Agile environments with tools like Jira and Azure DevOps
  • Familiar with structured change management processes
  • Clear communication, strong organisation and high attention to detail
  • Curiosity about new tech and a track record of using AI tools to move faster and ship better work

Apply now or reach out for more info:

:

:
George Bates | LinkedIn

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