Machine Learning /Data Engineer at 7-ELEVEN

, , Australia -

Full Time

Start Date

Immediate

Expiry Date

18 Jan, 26

Salary

0.0

Posted On

20 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Pyspark, SQL, Azure Databricks, Machine Learning, CI/CD, MLOps, Bash Scripting, Shell Scripting, Databricks Unity Catalog, Delta Lake, MLflow, Observability, FinOps, Data Engineering, Commercial Mechanisms

Industry

Retail

Description

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. About you Excellent Python (with emphasis on pyspark) and SQL programming skills. High level of proficiency in Azure Databricks. 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. Why Join Us? Vibrant Open Office in Richmond. Work in a dynamic, collaborative space that sparks creativity 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. Our purpose at 7-Eleven is to make every day easier so Australians can live a good life. We endeavor to make 7-Eleven Australia a frontrunner in developing capability, fostering safety and wellness in the workplace and increasing collaboration keeping our customers front of mind. We can proudly provide greater flexibility, and deliver rewarding development opportunities Our commitment to creating a workplace that fosters inclusion and celebrates diversity means that every team member feels heard, valued, and respected no matter who you are or what diverse characteristics reflect your unique identity. We are a proudly people-focused business, and together we aim to reach higher, do what’s right, delight customers and thrive together. 7-Eleven Australia has a dedicated team available to support applicants with any diversity and inclusion related queries including diverse gender experiences, language and accessibility needs. All enquiries regarding our recruitment process are welcome and are handled with confidentiality and respect for privacy. 7-Eleven is 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.** Contact Information: Phone: 1800 247 711 Hours: Mon-Fri 8am-6pm or Sat-Sun 8am-4pm AEST

Responsibilities

The role involves end-to-end ownership of a bespoke ML engine hosted in Databricks, including design, build, and management of model execution and monitoring. The candidate will also be responsible for building and maintaining data ingestion pipelines and ensuring production stability.