An application made for this job — a tailored resume and cover letter that speak straight to the posting.
PFD Food Services Pty Ltd in Australia is seeking a Senior Data Engineer to design and deliver our enterprise data platform using Azure Databricks, PySpark, SQL, DBT and Azure Data Factory. You will lead data architecture, build scalable pipelines and models, and set foundations for analytics and AI initiatives.
You will collaborate with business stakeholders to deliver trusted data solutions, implement governance and security practices, and provide technical leadership across the team, helping
For more than 80 years, PFD Food Services has supplied businesses across Australia with an extensive range of food and related products. As part of Woolworths Group, we continue to invest in our systems, processes and technology to support our customers and future growth.
We're looking for a Senior Data Engineer to design and deliver our enterprise data platform using Azure Databricks, PySpark, SQL, DBT and Azure Data Factory. You'll lead data architecture, build scalable pipelines and models, and help establish the foundations for analytics, reporting and future AI initiatives across the business.
To thrive in this role, you will bring:
Azure Databricks, PySpark, SQL, DBT, Delta Lake, Azure Data Factory, Unity Catalog and Power BI.
We are offering competitive remuneration, superannuation and other staff benefits (such as discounts on staff purchases, discounted accommodation, health insurance and banking).
PFD Food Services is committed to being an Equal Employment Opportunity employer.
Applications close Monday, 5 October 2026 at 12:00 pm (AEST). Early applications are encouraged, as hiring managers may begin shortlisting candidates before the closing date. Only shortlisted candidates will be contacted. All applications will be treated confidentially.
We do not accept unsolicited CVs from recruitment agencies or third parties. Any CVs sent directly to Line Managers will not be considered, and we will not be responsible for any associated fees or costs.
Azure Databricks, PySpark, SQL, Data Engineer, Data Platform, Data Warehouse, Lakehouse, Azure Data Factory, Delta Lake, Cloud Engineering, ETL, ELT, Architecture.