Senior Data Engineer

Hewitt

City of Brisbane

On-site

AUD 110,000 - 140,000

Full time

6 days ago
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Benefits offered by this job

Competitive remuneration
Growth opportunities
Employee assistance program
Team events and recognition

Job summary

Hewitt is seeking a Senior Data Engineer for a maximum 18-month contract in Brisbane, QLD. You will design, build and maintain scalable data pipelines and Lakehouse environments (Databricks, Microsoft Fabric) while optimising cost, performance, and security across the data platform.

You will collaborate with data architects and stakeholders to deliver reliable data products for analytics, AI and automation.

Qualifications

  • 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.

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.

Skills

Medallion architecture
Python
SQL
Databricks
Microsoft Fabric
CI/CD
DevOps
DataOps
GitHub
Data governance
Data quality
Security
Cloud APIs integration

Tools

Databricks
Azure Data Factory
Azure Functions
Azure Logic Apps

Job description

Senior Data Engineer 12 - month max term - Brisbane QLD

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.

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

Values-Driven Organisation - Join a company with a 120-year family heritage, a clear purpose, and a long-term focus on sustainability, animal welfare, and quality.

Competitive Remuneration Package - We recognise and reward your contributions with a fair and transparent pay structure.

Opportunities to grow and develop - Learn on the job, gain new skills, and progress across office, production, and farm/station roles.

Support When You Need It - Access to our 24/7 Employee Assistance Program for personal and professional wellbeing.

The Hewitt Experience - Shared Connections & Celebration – Our teams come together to celebrate wins and build connections through regular events, staff sales and recognition programs.

Hewitt is committed to equal opportunity employment and to fostering a workplace that values equity, diversity, and respect.

Reasonable adjustments are available throughout the recruitment process.

By applying, you acknowledge that proof of eligibility to work in Australia will be required.

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