Senior Data Engineer
Hewitt, a family-owned Australian agricultural and protein producer, is hiring a Senior Data Engineer on a max 18-month contract in Queensland to build batch and real-time data pipelines, optimize Lakehouse environments, and implement data quality and governance frameworks using Python, PySpark, SQL, Databricks, and Azure services.
- Compensation
- Not disclosed
- Location
- Queensland, Australia
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience building medallion architecture data pipelines with Python and SQL
- Exposure to Databricks, Microsoft Fabric or similar platforms
- Exposure to CI/CD, DevOps and DataOps practices
- Experience with GitHub or similar platforms
- Knowledge of data governance, quality and security practices
- Integration and automation experience across cloud services and APIs
- Strong communication and stakeholder engagement skills
Full description
Job Description
As a Senior Data Engineer, you will design, build and maintain scalable data pipelines, integrations and platforms that support Hewitt's analytics, reporting and automation goals. Working closely with the Data Architect, you will help optimise Lakehouse environments, improve data quality and enable secure, reliable data delivery across the business. This is a hands-on role in a collaborative technology team focused on practical outcomes and continuous improvement working on a maximum 18-month contract.
Build and maintain scalable batch and real-time data ingestion pipelines supporting analytics, AI, BI, and automation workloads. (Python, PySpark, SQL
Develop structured and semi-structured datasets within Lakehouse environments (Databricks, Microsoft Fabric).
Optimise data pipelines for cost, performance, reliability, and maintainability (Databricks, Azure Logic Apps, Azure Data Factory, Azure Functions).
Implement robust data quality, validation, and observability frameworks.
- Build and maintain scalable batch and real-time data pipelines
- Develop and optimise Lakehouse, warehouse and integration environments
- Implement data quality, governance and security controls
- Support automation solutions and reusable engineering components
- Collaborate with stakeholders to deliver trusted data products
In this role, you will play a key part in building and maintaining the data infrastructure that powers business decisions, designing and optimising data pipelines, managing large datasets, and collaborating with cross-functional teams to ensure reliable, scalable, and efficient data solutions in a fast-paced environment.
About the Employer
With 120 years of family ownership, Hewitt is an iconic Australian agricultural business with a deep commitment to land, livestock and community. Over the past decade, Hewitt has evolved from its livestock production origins into a global, sustainable protein producer, with premium organic and grass-fed brands stocked by leading retailers across Australia, the United States and Asia.
Guided by a vision to feed the world with a system that lasts forever, Hewitt delivers ethical, nutritious protein at global scale. Our fully integrated supply chain - spanning owned cattle stations, trusted producer partners, processing and retail - provides unmatched transparency, quality and resilience, setting Hewitt apart within the global food system.
Hewitt is a hands-on, collaborative business where being present matters. Whether in the office, on station, or in production, you're contributing to something real: real food, real impact, real teamwork.
Join Hewitt for the Opportunity of a Lifetime