Databricks Consultant Engineer

Senior Data Engineer / Consultant - Databricks

Data Practice - Any Location, New Zealand (Hybrid)

About the Company: 

This pioneering consultancy is a Kiwi success story specialising in Integration, Data, AI and Cloud Consulting. They help organisations unlock greater value from their data through modern integration and analytics solutions built on technologies including Databricks, Azure, MuleSoft, Boomi and Solace.

Based in their Grey Lynn / Ponsonby offices, they offer a collaborative, people-first culture where curiosity, initiative and continuous learning are valued. We combine strong technical capability with a practical, down-to-earth approach and are looking for people who share that mindset.

We are ideally seeking someone based in Auckland but will also consider candidates located in Wellington, Christchurch or elsewhere in New Zealand who are willing to travel when required.

ABOUT THE ROLE

We are looking for a Senior Data Engineer / Consultant to join our growing Data Practice.

This is a hands-on consulting role focused on delivering modern Databricks, Azure and Fabric-based data solutions across a variety of client environments. You will work closely with clients, architects and delivery teams to design, build and optimise scalable data platforms that drive business outcomes.

Success in this role requires both strong technical capability and the ability to engage directly with stakeholders, understand business requirements and translate them into practical engineering solutions.

As a senior member of the team, you will contribute to solution design, mentor junior engineers and help shape the continued growth of their Data Practice.

WHAT YOU'LL BE DOING

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.

WHAT YOU'LL BRING

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.

ABOUT YOU

Strong communicator who enjoys working with clients and stakeholders.
Self-motivated, organised and delivery focused.
Comfortable balancing multiple priorities and deadlines.
Curious, adaptable and committed to continuous learning.
Strong problem-solving mindset.
Professional, collaborative and team-oriented.

What's in it for you?

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.

If you're looking to combine hands-on engineering with consulting and stakeholder engagement, we'd love to hear from you.