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Data Engineer
Designs and builds scalable data pipelines and platforms for a sustainability-focused waste management company, using cloud/on-prem tools like Snowflake, SQL, and Databricks.
Data Engineer
Build and maintain scalable data pipelines and RESTful APIs in Python and SQL, optimizing databases and collaborating with cross-functional teams to deliver backend systems.
Senior Data Engineer for AI
Senior Data Engineer builds AI-ready data pipelines and semantic models for Air New Zealand, enabling AI agents, automation, and analytics across airline operations using cloud platforms like AWS/Azure.
AI Data Platform Engineer: Scale AI, DataOps & Cloud
Designs and builds scalable AI-ready data platforms for an airline, focusing on ELT/ETL, data modelling, and cloud-based AI workflows to support analytics and automation.
Data Engineer
Build and modernize LIC’s data platform using Snowflake, ETL/ELT, and cloud tools to improve data accessibility and self-service for analytics across the agri-tech co-op.
Associate Data Engineer (Powe BI)
Build and maintain Power BI dashboards and data models to turn business data into actionable insights, while supporting modern data pipelines and cloud platforms like Microsoft Fabric or Azure.
Senior Data Engineer
Design and build scalable data pipelines and frameworks to enable BNZ’s core banking teams to make data-driven decisions using SQL, Python, and modern ELT tools.
Senior Data Engineer
Senior Data Engineer builds and modernizes NZ Customs’ analytics platform using Microsoft Fabric, Power BI, PySpark and Delta Lake to replace legacy ETL systems.
Staff Data Scientist/Machine Learning Engineer
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Associate Data Engineer (Power BI) (9-months Fixed Term Contract)
Build and maintain Power BI dashboards and data models, optimize DAX/Power Query, and support data pipelines for a pharmaceutical company’s analytics needs.
Staff Machine Learning Engineer - Auckland
Build and deploy ML models to detect retail crime patterns, match suspects, and analyze video evidence for global retail clients using Python, computer vision, and cloud pipelines.
Data Engineer finanssialalle - Tieto Tech Consulting (m/f/d)
Designs, builds, and maintains modern data platforms for banks and financial institutions, ensuring reliable, compliant, and business-ready data pipelines and storage.
Data Engineer - Tieto Tech Consulting (m/f/d)
Design, build, and maintain modern data platforms (e.g., Microsoft Fabric, Databricks, Snowflake) to enable analytics and decision-making for clients across finance, logistics, and other industries.
Data Engineer, Databricks & SAP Datasphere – Tieto Tech Consulting (m/f/d)
Designs, builds, and maintains scalable data platforms using Databricks and SAP Datasphere, integrating cloud and on-prem systems to deliver clean, secure data pipelines for analytics and business needs.
Data Engineer - Tieto Tech Consulting (m/f/d)
Design and build Databricks-based data pipelines and governance solutions to ensure reliable, compliant data for business use.
Data Engineer finanssialalle - Tieto Tech Consulting (m/f/d)
Designs, builds, and maintains modern data platforms for banks and financial institutions, ensuring reliable, compliant, and business-ready data pipelines and storage using tools like Azure, Databricks, and Snowflake.
Data Engineer, Databricks & SAP Datasphere – Tieto Tech Consulting (m/f/d)
Designs and builds scalable data platforms using Databricks and SAP Datasphere, integrating enterprise data into analytics pipelines for reporting and decision-making.
Data Engineer (Mid-Snr)
Design and build scalable data pipelines and modern data platforms using Azure, Databricks, and Microsoft Fabric to deliver enterprise intelligence solutions.
Senior (Lead) Platform Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure for Sievo’s spend-intelligence platform, using Python, SQL, Spark, and Azure tools to ensure reliable, production-grade data products.