Senior Data Engineer – Databricks

ICM Asia Pacific

Senior Data Engineer / Consultant focused on delivering data solutions for clients at Adaptiv. Collaborating with teams to design and optimize scalable data platforms using Databricks and Azure.

Posted 7/7/2026full-timeAuckland • 🇳🇿 New ZealandSenior💰 NZ$140,000 - NZ$160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data pipelines for analytics and AI/ML workloads, with strong capabilities in Databricks and data quality practices. Proven ability to mentor engineers and lead technical discussions while collaborating on solution design and delivery.

Highest-signal resume keywords

Data Engineering ExperienceDatabricks ExpertisePython ProgrammingSQL SkillsData Quality Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData TransformationData ModellingMedallion ArchitectureCloud-Native Data PlatformsCI/CD PracticesDevOps PracticesTesting ImplementationMonitoring PracticesScalable Solution Design

Soft Skills

Stakeholder EngagementCommunication SkillsMentoring

Tools & Technologies

DatabricksDelta Live TablesGitMicrosoft FabricAzure Data Platform

Certifications & Qualifications

Databricks Certifications

Industry Keywords

LakehouseData WarehouseAI/ML WorkloadsContinuous ImprovementKnowledge Sharing

Tech Stack

Tools & technologies

AzureCloudPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.