About this role

Design, build and optimise data pipelines across lakehouse and warehouse environments.
Develop high-quality data transformations for analytics, reporting and AI/ML workloads.
Work with Databricks, Delta Live Tables, Lakeflow, Git and CI/CD pipelines.
Implement testing, monitoring and data quality practices.
Lead technical discussions and translate business requirements into engineering outcomes.
Collaborate with architects and delivery teams on solution design and delivery planning.
Mentor junior and intermediate engineers and support knowledge sharing across the team.
Contribute to continuous improvement of frameworks, templates and delivery standards.

6+ years of Data Engineering experience.
4+ years of hands-on Databricks experience, including Delta Live Tables, notebooks and workflows.
Strong Python and SQL skills.
Experience delivering lakehouse, warehouse or cloud-native data platforms.
Exposure to Microsoft Fabric and Azure Data Platform technologies.
Knowledge of data modelling, Medallion Architecture and scalable solution design.
Experience with Git, CI/CD and DevOps practices.
Experience implementing testing and data quality frameworks.
Strong stakeholder engagement and communication skills.
Experience mentoring or providing technical leadership to other engineers.
Relevant Databricks certifications or commitment to ongoing professional development.

Join a high-performing and supportive team.
Work with modern technologies including Databricks, Azure and Fabric.
Real opportunities for career growth and technical development.
Modern offices across Auckland, Christchurch, Wellington, Melbourne and Brisbane.
Make a visible impact across client projects and the wider business.

Senior Data Engineer – Databricks

Key skills