Tech jobs
Job listings
Lead Data Consultant - Microsoft Fabric Analytics Engineer
Lead a team to design and build analytics solutions in Microsoft Fabric and Power BI, modeling data, writing SQL/Python, and delivering governed metrics and reports for enterprise clients.
Data Engineer (MS Fabric)
Builds and delivers Microsoft Fabric-based data platforms for NZ clients, designing lakehouses, ETL pipelines, and governance using SQL, Python, and Azure services.
Senior Data Engineer — Microsoft Fabric Lakehouse
Design and build scalable data platforms using Microsoft Fabric, focusing on Lakehouses and OneLake with Python, PySpark, and SQL.
Data Engineer - Consultant
Build and deliver modern data platforms using Microsoft Fabric, Azure, and Databricks for New Zealand clients, owning end-to-end pipelines, warehousing, and reporting in a hands-on consulting role.
Senior Fabric Data Engineer — Real-Time Platform Architect
Designs and builds real-time data platforms using Microsoft Fabric, Azure Data Factory, and PySpark to support analytics and AI workflows for semiconductor operations.
Senior AWS Data Engineer — Data Lakes, ETL, & Databricks
Designs and builds AWS-based data pipelines and ETL workflows, ensuring scalability and data integrity with PySpark and SQL.
AWS Data Engineer
Build and maintain AWS-based data pipelines and ETL workflows using Glue, S3, Lambda, and PySpark to process large datasets and migrate to Databricks.
Data Engineer
Design and maintain large-scale data pipelines using PySpark, Hadoop, and Azure services to process and transform semiconductor manufacturing data.
Data Engineer: Azure Spark Pipelines, Flexible Hours
Design and build scalable data pipelines on Azure using PySpark, SQL, Airflow, and Kafka to deliver high-quality data products for Bosch’s large-scale platform.
Senior Data Engineer
Design and build cloud-based data pipelines and ETL/ELT processes using Python, PySpark, AWS/Azure services to support insurance analytics and modern data architecture.
Senior Data Analytics Engineer
Designs and delivers scalable data pipelines, models, and analytics solutions using Azure, Databricks, and SQL to drive business insights and operational excellence in fleet management and financial services.
Data Platform Administrator / Engineer
Administers and engineers a modern data platform using Cloudera, Kafka, Databricks, and Azure Synapse, focusing on Lakehouse architectures and performance tuning.
Senior Data Platform Engineer — Cloud & Real-Time Analytics
Designs and builds scalable cloud data platforms for real-time analytics using SQL, PySpark, and Databricks, while mentoring engineers and driving best practices.
Senior AWS Data Engineer — Glue, EMR, PySpark Expert
Designs and builds cloud-native data pipelines on AWS using Glue, EMR, and Athena with PySpark and SQL to transform large datasets for enterprise clients.
Data Platform Engineer
Build and maintain scalable data pipelines on AWS and Databricks, using Python, PySpark, and modern ETL/ELT frameworks to deliver reliable data across the organization.
Data Platform Engineering Lead
Lead the design and operation of SEMPHN’s enterprise data platform (DataBRIDGE) using Azure, Databricks, dbt, and PySpark to build secure, scalable data pipelines and models for population health analytics.
Data Manager Engineering
iSelect and Compare the Market are trusted, well-known brands dedicated to helping millions of Australians compare and buy personal finance and household products such as insurance, energy, and loans. Together, we…
Lead Data Platform Engineer — AWS, PySpark & Pipelines
Lead a small team to build and maintain scalable data pipelines on AWS/Databricks using PySpark, setting architecture standards and guiding ETL/ELT workflows for a SaaS product.
Senior AWS Data Engineer
Design and maintain scalable data pipelines on AWS using Glue, EMR, and Athena, with PySpark and SQL for transformations and DevOps practices via Terraform and GitLab.
Senior AWS Data Engineer - Real-Time Pipelines & Airflow
Designs and optimizes AWS-based data pipelines using Python, PySpark, Airflow, and Redshift/S3/DynamoDB/Snowflake for batch and real-time analytics.