About the job Data Engineer - Microsoft Fabric Azure Data
About the company | Mō te kamupene
This organisation is a well-established player delivering large-scale data transformation initiatives across enterprise environments. They are heavily invested in modern cloud technologies and are known for building high-performing, forward-thinking data teams.
What's in it for you: He aha ngā painga mōu
You'll step into a genuinely complex enterprise environment where data is at the core of decision-making, not an afterthought
Work with a modern Azure-based data stack, including Fabric, Databricks and Kafka, on large-scale platforms
You'll be given the autonomy to design solutions properly — with a strong focus on reusability, modularity and long-term thinking
Clear pathway to step into senior and lead-level roles as the platform continues to evolve
Flexible working environment with a team that values output over presenteeism
About the role | Mō te tūranga
You'll play a key role in designing and delivering scalable data solutions within a modern cloud environment, working closely with engineering, analytics and business stakeholders to drive real outcomes.
You will get the opportunity to build scalable data pipelines using Spark and PySpark in a complex enterprise environment
You will design and develop modular, reusable data solutions that support long-term platform scalability
You will work closely with stakeholders to optimise Power BI semantic models and reporting outputs
You will deploy and manage data pipelines using CI/CD, DevOps and DataOps best practices
You will work across technologies such as Kafka, Databricks and Azure-based data services
Skills & Experience | Ngā pūkenga me te wheako
Strong experience with Apache Spark and PySpark, including understanding of internals
Experience working across Azure, Fabric, Synapse, Databricks or AWS environments
Proven capability designing and building ETL pipelines and data warehouse solutions
Solid experience with Power BI modelling and Microsoft SQL Server
Working knowledge of Kafka and modern data architecture principles
How to apply
Please contact Adam Roi on 027 535 6350 for a confidential discussion.
Adam.r@walkersmith.co.nz