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Senior Platform Data Engineer - Azure Databricks

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. 

Job Description

We are seeking a Platform Data Engineer to help lead the transformation of our data infrastructure from legacy on-premise systems to a modern Azure Lakehouse architecture. Based primarily in Melbourne, this role supports teams and stakeholders across the eastern states of Australia. You will design, build, and maintain scalable data platforms that enable secure, reliable, and high-performance data operations for analytics, reporting, and advanced use cases.

 

Key Responsibilities

Cloud Platform Engineering

  • Design and implement data infrastructure using Azure Synapse Analytics, Azure Databricks, Data Lake Storage Gen2, Delta Lake, and Azure Data Factory.
  • Support the migration of on-premise data assets to Azure, ensuring data integrity and minimal disruption.

Data Pipeline Development

  • Build and maintain robust ETL/ELT pipelines using Spark, Python, and SQL.
  • Ensure pipelines are modular, reusable, and integrated with CI/CD workflows.

Infrastructure as Code & Automation

  • Use Terraform, Bicep, or ARM templates to provision and manage cloud resources.
  • Automate deployment and monitoring of data services using Azure DevOps or GitHub Actions.

Performance & Reliability

  • Monitor and optimise data platform performance, storage, and compute resources.
  • Implement diagnostics, logging, and alerting using Azure Monitor and Log Analytics.

Collaboration & Support

  • Work with cross-functional teams across Melbourne, Sydney, Brisbane, and Canberra to deliver consistent platform capabilities.
  • Provide technical support and documentation for platform components and data 

Experience Required:

  • Demonstrated experience with Azure data services (Databricks, Synapse, Data Lake, Data Factory), Spark, Python, and SQL.
  • Proven ability to design and implement cloud-based data platforms and migrate legacy systems.
  • Experience with deployment and CI/CD tools (Azure DevOps, GitHub Actions).
  • Strong skills in monitoring, troubleshooting, and optimising data platforms.

What you’ll love about working here

  • We recognise the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
  • At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
  • Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code:  332716
Posted on:  23 Sept 2025
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Melbourne, AU

Brand:  Capgemini
Professional Community:  Data & AI

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