
Principal Cloud Data Engineer
- Australia
- $150,000-180,000 per year
- Permanent
- Full-time
- Extensive experience in data strategy, AI, and analytics, guiding C-level executives through complex data decisions and operating model design.
- Shape and implement data initiatives aligned with business outcomes, focusing on unlocking value from data investments and translating complex needs into scalable solutions.
- Design and deliver end-to-end data solutions in the cloud, balancing scalability, security, and business agility.
- Lead data maturity assessments, identifying capability gaps and creating actionable roadmaps.
- Champion data governance, AI adoption, and self-service analytics across client organisations.
- Drive business development and pre-sales activity, supporting proposals, SoWs, and commercial modelling to articulate client value.
- Leverage the full Azure data stack to build scalable, integrated data platforms, and optimise data models for performance and maintainability.
- Lead the creation and implementation of data pipelines and CI/CD frameworks, ensuring data quality, reliability, and efficient delivery.
- Collaborate with stakeholders to align solutions with architectural standards and ensure compliance with security and regulatory requirements.
- Build and maintain strong client relationships, providing strategic guidance as a trusted technical advisor.
- Proven experience with 5+ years in data engineering and solution architecture within enterprise-scale environments, specialising in Azure technologies
- Proven hands-on expertise with the Azure data platform, including, Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage and Azure SQL Database, Purview Data Catalog and Data Map
- Demonstrated client-facing experience, effectively engaging with stakeholders to understand and address their needs
- Strong skills in solutioning and project estimation, accurately scoping and planning data engineering projects
- Strong practical knowledge of data modelling principles, including star and snowflake schemas, dimensional modelling, and Slowly Changing Dimensions
- Expert in SQL and Python, with production-ready code for both batch and real-time use cases; experience with R, Scala, or Java is a plus
- Experience designing and implementing scalable ETL/ELT pipelines and data integration workflows
- Demonstrated experience leading platform migrations, particularly from Azure Synapse or similar platforms
- Strong understanding of CI/CD practices, Git branching, automated testing, and infrastructure-as-code
- Strong knowledge and hands-on implementation of cloud security best practices, including identity and access management, encryption, and compliance
- Experience monitoring cloud services and optimising performance and costs using Azure Monitor, Log Analytics, or equivalent tools
- Hybrid working (for majority of our roles) with team anchor days to support collaboration.
- Extensive training and development opportunities that enable continual growth as part of your career planning.
- Extensive discounts and benefits to maximise your money.
- A choice of your IT equipment to maximise your success and access to cost-price tech for your personal needs.
- Fun team events to celebrate achievements and connect with colleagues outside work as part of our engaging culture.