Senior Data Engineer

Posted 7 Days Ago
Be an Early Applicant
Surrey Hills South, Victoria, AUS
In-Office
Senior level
Food
The Role
Designs and builds GYG’s enterprise data platform, including Microsoft Fabric ingestion pipelines, governed medallion architecture, cloud lakehouse migration, data integrations, Power BI semantic models, DAX solutions, data quality controls, lineage, and AI-ready data products. The role owns end-to-end solution design, establishes engineering standards, ensures pipeline reliability, and challenges unsuitable data requirements.
Summary Generated by Built In
Company Description

At Guzman y Gomez Mexican Kitchen, our mission has always been to reinvent fast-food. We’re Australia’s only fast-food restaurant to be 100% clean, meaning there are no added preservatives, artificial flavours, added colours or unacceptable additives in our food. We’re incredibly proud of our amazing people, and the unique way we celebrate Mexican culture in everything we do.

Job Description

The Role

GYG's entire data platform runs through Enterprise Systems, powering the sales, operations, and people reporting that leadership relies on every day.

The Senior Data Engineer designs and builds that platform end-to-end — from ingestion pipelines through to the governed, AI-ready data products that power Power BI and self-serve analytics across the business.

What You'll Do

  • Design and build ingestion pipelines in Microsoft Fabric, migrating our SQL Server data warehouse to a governed medallion architecture (bronze → silver → gold → platinum)
  • Own solution design end-to-end — architecture, source mappings, transformation logic, and data lineage — without needing a detailed technical brief
  • Integrate new data sources from REST APIs, MySQL, and PostgreSQL on AWS, using CDC and batch ingestion patterns
  • Design and own enterprise Power BI semantic models as governed, reusable data products, with DAX at depth
  • Build the data foundations for our insight intelligence layer, including Real-Time Intelligence and future AI/Copilot integration
  • Define and enforce data engineering standards — naming conventions, layer contracts, testing, and documentation — across the platform
  • Implement data quality controls and pipeline reliability standards the platform can scale on
  • Challenge requirements and propose alternatives when the data approach doesn't stack up

What You'll Bring

  • Significant (e.g. 6+ years) of hands-on data engineering experience in production environments — pipelines, modelling, and serving layer
  • Proven ability to design and deliver end-to-end data solutions from a business problem statement, without a detailed technical brief
  • Operational experience with Microsoft Fabric (Lakehouse, Dataflows Gen2, Direct Lake, OneLake) or deep equivalent experience on Synapse/Databricks
  • Strong T-SQL and dimensional modelling, with experience migrating a SQL Server warehouse to a cloud lakehouse
  • CDC and batch extraction experience from MySQL/PostgreSQL on AWS RDS into an Azure environment
  • Power BI and DAX at depth — semantic model engineering, not just report building
  • A disposition that owns problems through to production without hand-holding, and pushes back when the data approach is wrong
  • dbt, Great Expectations, or similar data quality/transformation frameworks highly regarded but not essential

What You'll Love

  • Real career growth in a Tech function that's investing in its capability
  • Annual short-term incentive scheme
  • GYG restricted shares, earned each year through our long-term incentive scheme
  • Up to 5 weeks of annual leave each year (ask us how)
  • Paid parental leave
  • A vibrant Surry Hills office, a short walk from Central Station (4 days in office, 1 day WFH)

Interested? Apply now to start the conversation.

Skills Required

  • Significant hands-on data engineering experience in production environments, such as 6+ years
  • Experience building pipelines, data models, and serving layers
  • Ability to design and deliver end-to-end data solutions from business problem statements without detailed technical briefs
  • Operational experience with Microsoft Fabric, including Lakehouse, Dataflows Gen2, Direct Lake, and OneLake, or deep equivalent experience with Synapse or Databricks
  • Strong T-SQL and dimensional modelling experience
  • Experience migrating a SQL Server warehouse to a cloud lakehouse
  • CDC and batch extraction experience from MySQL or PostgreSQL on AWS RDS into an Azure environment
  • Deep Power BI and DAX experience, including semantic model engineering
  • Ability to own problems through production independently and challenge unsuitable data approaches
  • Experience with dbt, Great Expectations, or similar data quality or transformation frameworks
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
15,200 Employees
Year Founded: 2006

What We Do

Guzman y Gomez (GYG) is one of Australia's fastest-growing Quick Service Restaurant (QSR) businesses, delivering clean, fresh, made-to-order, Mexican-inspired food. Since opening its first restaurant in Sydney in 2006, GYG has expanded globally to over 200 restaurants. The company is on a mission to reinvent fast food for the better, changing the way the masses eat one burrito at a time.

Similar Jobs

Social Discovery Group Logo Social Discovery Group

Senior Data Engineer

Artificial Intelligence • Fintech • Machine Learning • Software • App development • Conversational AI • Generative AI
In-Office or Remote
7 Locations

Versent Logo Versent

Senior Data Engineer

Information Technology • Consulting
In-Office
4 Locations
456 Employees
In-Office or Remote
6 Locations
105 Employees

NCS Group Australia Logo NCS Group Australia

Senior Data Engineer

Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
In-Office
Melbourne, Victoria, AUS
1358 Employees

Similar Companies Hiring

Munchkin, Inc. Thumbnail
Consumer Web • eCommerce • Food • Kids + Family • Design • Manufacturing
Milton, Ontario
325 Employees
Tastewise Thumbnail
Artificial Intelligence • Big Data • Food • Retail • Software • Generative AI • Big Data Analytics
NYC, NYC
120 Employees
Amalgamated Sugar Thumbnail
Food • Greentech • Agriculture • Industrial • Manufacturing
Boise, Idaho
768 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account