Senior Data Engineer
Guzman y Gomez Mexican Kitchen
Surry Hills, New South Wales, Australia · Full Time
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- Experience
- 6+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 6 hours ago
- Work mode
- In office
- Resume
- Required to apply
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Job description
About Guzman y Gomez Mexican Kitchen
Guzman y Gomez (GYG) is committed to redefining fast-food by offering completely clean food products free of preservatives, artificial flavors, colors, or inappropriate additives. The company takes pride in its talented team and the vibrant incorporation of Mexican culture into its operations.
Role Overview
The Senior Data Engineer at GYG is responsible for designing and constructing the company’s comprehensive data platform that supports sales, operations, and workforce analytics used daily by leadership. This role covers the entire data engineering lifecycle from creating ingestion pipelines to developing governed, AI-capable data products that fuel Power BI dashboards and self-service analytics.
Key Responsibilities
- Create ingestion pipelines within Microsoft Fabric, transitioning the SQL Server data warehouse to a governed medallion architecture spanning bronze to platinum layers.
- Lead end-to-end solution design including architecture, source mapping, transformation logic, and data lineage without needing detailed technical specifications.
- Integrate diverse data sources, such as REST APIs and AWS-hosted MySQL and PostgreSQL databases, utilizing Change Data Capture and batch ingestion methods.
- Design and manage enterprise Power BI semantic models as governed, reusable data assets using advanced DAX techniques.
- Develop foundational data layers to support the insight intelligence infrastructure, facilitating real-time analytics and upcoming AI/Copilot integrations.
- Establish and uphold data engineering standards concerning naming conventions, layer contracts, testing procedures, and documentation across the platform.
- Implement rigorous data quality controls and maintain pipeline reliability to ensure scalability.
- Critically evaluate requirements and suggest data architecture improvements when necessary.
Candidate Profile
- Extensive hands-on experience (6+ years) in production data engineering environments, focusing on building pipelines, data modeling, and serving layers.
- Demonstrated ability to conceive and deliver complete data solutions based solely on business problem statements.
- Proficiency with Microsoft Fabric technologies, including Lakehouse, Dataflows Gen2, Direct Lake, and OneLake, or comparable platforms such as Synapse or Databricks.
- Expertise in T-SQL and dimensional modeling, with experience migrating on-premises SQL Server warehouses to cloud lakehouses.
- Competent in extracting data via CDC and batch processes from AWS-hosted MySQL and PostgreSQL into Azure platforms.
- Advanced skills in Power BI semantic model engineering and DAX, transcending basic report creation.
- A proactive mindset capable of managing end-to-end problem ownership and challenging ineffective data strategies.
- Experience or familiarity with data quality and transformation frameworks like dbt or Great Expectations is advantageous but not required.
Benefits and Work Environment
- Opportunities for meaningful career advancement in a technology-driven function with continual capability development.
- Eligibility for an annual short-term incentive program and shares earned under a long-term restricted scheme.
- Generous leave entitlements including up to five weeks of annual leave and paid parental leave.
- A lively office location in Surry Hills, close to Central Station, with a hybrid work structure featuring four days in the office and one day remote per week.
Level
Senior