Senior Data Engineer
Max-term (18-month) contract Senior Data Engineer at Hewitt, an Australian agricultural protein producer: designing, building and optimising batch and real-time data pipelines and Lakehouse environments (Databricks, Microsoft Fabric) using Python, PySpark and SQL, plus data quality, governance and Azure automation work.
- Compensation
- Not disclosed
- Location
- Central Plaza, 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
- Proof of eligibility to work in Australia
Full description
Contract | Max-term | Technology
About the Role
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.
Key Responsibilities
- 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
About You
You are a practical and technically capable data professional who enjoys building robust solutions and improving how data flows across the organisation. You bring strong engineering capability, a structured approach to governance and security, and the ability to work effectively with both technical and business stakeholders. You are curious, collaborative and committed to delivering reliable outcomes that support better decision making.
You Will Bring
- 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
Life at Hewitt
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.