Machine Learning /Data Engineer

The Role

Reporting to the Head of Data Engineering, Reporting and Governance, this role is a key member of the team responsible for managing and enhancing one of our new advanced ML engines, helping to deliver real value through the continuous improvement of this new strategic asset.

Roles & Responsibilities

• End-to-end ownership of a bespoke ML engine hosted in Databricks.
• Design, build and evolve architecture for model execution, retraining, monitoring and config layers.
• Deploy, tune and manage models
• Own CI/CD, rollback, monitoring and production stability.
• Build and maintain pipelines for ingestion external datasets - handling data anomalies, latency and interdependencies.
• Enable flexible updates in response to commercial drivers.
• Own config tooling, override logic and change-release pathways.
• Develop deep understanding of relevant commercial mechanisms and how the ML engine logic interacts with them.
• Co-own system performance with subject matter experts and analysts.
• Act as the link between engine behaviour and commercial outcomes.
• Own Unity Catalog security (RBAC, PII, secrets, audit/audience access reviews).
• Databricks Unity Catalog, Delta Lake, MLflow (registry & stages), Workflows.
• Observability on ML models: Set up key metrics, and alerts for latency, success rate, cost, and model output drift.
• Drive FinOps: budgets/alerts, cost attribution and performance tuning, ensuring costs are kept within defined budget.
• Excellent Python (with emphasis on pyspark) and SQL programming skills.
• High level of proficiency in Azure Databricks.
• Drive FinOps: budgets/alerts, cost attribution and performance tuning, ensuring costs are kept within defined budget.
• Excellent Python (with emphasis on pyspark) and SQL programming skills.
• High level of proficiency in Azure Databricks.

About You

• In depth knowledge of machine learning algorithms used to solve both classical as well as generative AI tasks.
• Expertise in setting up and managing Azure DevOps CI/CD pipelines.
• Very strong knowledge of software engineering best practices applicable to MLOps engineering.
• Competence in Bash and Shell scripting.
• Databricks certifications - Data Engineer Associate OR Machine Learning Associate - highly regarded.
• Vibrant Open Office in Richmond. Work in a dynamic, collaborative space that sparks creativity 
• Expertise in setting up and managing Azure DevOps CI/CD pipelines.
• Very strong knowledge of software engineering best practices applicable to MLOps engineering.
• Competence in Bash and Shell scripting.
• Databricks certifications - Data Engineer Associate OR Machine Learning Associate - highly regarded.
• Vibrant Open Office in Richmond. Work in a dynamic, collaborative space that sparks creativity 

Why Join Us?

• Work Your Way. Enjoy the perfect balance of remote flexibility and in-office collaboration—get the best of both worlds
• Make a Difference. Take a paid day off each year to volunteer for a cause you’re passionate about
• Fuel Your Day. Enjoy free 7-Eleven coffee and snacks in the office—because great ideas start with great coffee
• Family Comes First. Get up to 15 weeks of paid parental leave so you can focus on what matters most
• Stay Social & Connected. Join our Social Club and Open Committee for regular events, celebrations, and fun activities
• Grow Without Limits. Access unlimited LinkedIn Learning courses and invest in your personal and professional development

At 7-Eleven our people are at the heart of everything we do. We are committed to creating a workplace that fosters inclusion and celebrates diversity. We strive to make every single 7-Eleven team member feel heard, valued, and respected no matter who they are or what diverse characteristics reflect their unique identity. We are proud to be a Diversity Council Australia Inclusive Employer 2024-2025 and Bronze Accredited with the Australian Workplace Equity Index.

At 7-Eleven, we are committed to ensuring that all prospective employees have the opportunity to perform at their best throughout our recruitment process. If you require any adjustments to support an inclusive and accessible experience, please contact us for a confidential discussion at peoplesupport@7eleven.com.au

** Please note, this email is strictly for adjustment requests related to the recruitment process. Other inquiries sent to this mailbox will not be actioned.**

To find out more about our current opportunities follow us on LinkedIn or view our careers page.