Databricks Data Solutions Consultant (3-Month Contract)

Datacom; Hamilton; On-site; NZD 120,000 - 170,000; Full time

Job summary

Datacom is seeking an experienced Databricks Data Consultant to join us on a 3-month contract engagement in Hamilton, New Zealand. You will design and deliver scalable data solutions across cloud environments, focusing on Databricks, Spark, and modern data pipelines.

You'll work with cross‑functional stakeholders to translate requirements into production-ready data platforms, ETL/ELT processes, and reliable data models, delivering value quickly for customer projects.

Qualifications

• 3+ years' hands-on Databricks experience.
• Strong knowledge of Databricks architecture, features and implementation.
• Experience with DBT and/or Coalesce.
• Programming skills in Python, Scala, Java, or C#.
• Experience with Apache Spark and relational databases.
• Experience across Azure, AWS, or GCP.
• Experience deploying production data pipelines.
• Consulting and stakeholder engagement skills.

Responsibilities

• Design and deliver scalable data solutions using Databricks.
• Build and operationalise reliable data pipelines and ETL/ELT processes.
• Translate customer requirements into practical technical solutions.
• Integrate and transform structured and unstructured data from multiple sources.
• Develop data platforms, data lakes, and distributed data solutions.
• Build and optimise solutions using Apache Spark.
• Work across cloud data environments including Azure, AWS, or GCP.
• Improve data reliability, performance, efficiency, and quality.

Skills

Databricks

Python

Scala

Spark

Data pipelines

Cloud platforms

Stakeholder engagement

CI/CD

Tools

DBT

Coalesce

Job description

Datacom is seeking an experienced Databricks Data Consultant to join us on a 3-month contract engagement in Hamilton, New Zealand. You will design and deliver scalable data solutions across cloud environments, focusing on Databricks, Spark, and modern data pipelines.

You'll work with cross‑functional stakeholders to translate requirements into production-ready data platforms, ETL/ELT processes, and reliable data models, delivering value quickly for customer projects.