Design, build, and optimise data pipelines across Lakehouse and warehouse patterns, with a focus on reliability and performance
Develop robust data transformations that enable reporting, analytics, and AI use cases
Deliver production grade solutions using Databricks notebooks, workflows, Delta Live Tables, and Lakeflow
Produce clean, maintainable SQL/Python data solution that meets agreed engineering standards
Implement automated testing, monitoring, data validation, and performance tuning to support stable operations
Apply modern data modelling and Medallion Architecture principles to create scalable, well-structured data products
Lead technical discovery and solution walkthroughs, translating business requirements into clear engineering scope and deliverables
Partner with architects and delivery teams to shape solution design, estimates, sequencing, and delivery plans
Provide clear communication on progress, risks, dependencies, and technical blockers to client stakeholders and delivery leadership
Conduct peer reviews and promote consistent patterns across coding, documentation, and deployment practices
Mentor team members, supporting capability uplift and delivery confidence
Contribute to Theta delivery assets including templates, reusable components, documentation, and continuous improvement initiatives

At least eight years of data engineering experience delivering enterprise scale data platforms and Enterprise Data Warehouses, including complex integration, modelling, and production support requirements
Three or more years of hands-on Databricks experience
Strong Databricks Workspace, Unity Catalog and Compute design and management experience
Strong experience with Databricks notebooks, workflows, Delta Live Tables and Lakeflow
Advanced SQL capability
Strong experience delivering modern Lakehouse, Warehouse or cloud-native data platforms
Strong understanding of Delta Lake, Medallion Architecture and scalable solution design
Strong experience with data modelling for analytics workloads
Strong Git, CI/CD, DevOps and DataOps experience
Experience implementing regression testing and data-quality frameworks
Strong stakeholder engagement and communication skills
Experience mentoring team members or providing technical leadership

Experience using AI coding assistants, including GitHub Copilot or Claude coding agent
Relevant Databricks certifications or a demonstrated commitment to ongoing professional development
Exposure to Microsoft Fabric and Azure Data Platform and other relevant technologies

Professional growth and learning opportunities
A competitive salary (commensurate with experience)
Hybrid working model – from a minimum of 2 days in the office
Fully subsidised medical insurance for employees
Heavily discounted medical insurance for immediate family of employees
Enhanced parental leave payment – salary top-ups plus return-to-work incentive
Volunteer days
Internal Referral Incentive
Staff Assistance Programme
Annual Flu injections
Sick leave from your first day on board
Remote working options where practical and mutually agreed
Daily fresh fruit basket, coffee machine, wide selection of teas and biscuits in all of our offices

Hybrid — Auckland

Hybrid working model – from a minimum of 2 days in the office
Fully subsidised medical insurance for employees
Heavily discounted medical insurance for immediate family of employees
Enhanced parental leave payment – salary top-ups plus return-to-work incentive
Volunteer days
Internal Referral Incentive
Staff Assistance Programme
Annual Flu injections
Sick leave from your first day on board
Remote working options where practical and mutually agreed
Daily fresh fruit basket, coffee machine, wide selection of teas and biscuits in all offices
Accredited employer with INZ
All potential employees will be required to consent to a Ministry of Justice criminal record check
Only accepting applications from those already residing in NZ with the relevant visas

Theta is hiring a Lead Data Consultant - Databricks