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Fabric Data Engineer for Enterprise Data Platform & AI
Designs and builds scalable data platforms using Microsoft Fabric and Lakehouse architectures to power AI, analytics, and Power BI reporting.
[Urgent Hiring] Data Engineer / Cloud Data Engineer (AI Center of Excellence)
Build and maintain enterprise-scale data platforms and AI-ready pipelines using cloud tools like Azure, Databricks, and Snowflake to power analytics and AI for global clients.
Fabric Data Engineer: AI-Ready Data Pipelines & Lakehouses
Designs and builds Microsoft Fabric data pipelines and lakehouses to prepare enterprise data for AI and analytics workloads.
Data Engineering Manager: Azure Databricks & AI Pipelines
Leads a team building and optimizing Azure Databricks and Microsoft Fabric pipelines to create analytics-ready data layers for BI and AI use cases.
Sr. Data Engineer
Design and build scalable Azure-based data pipelines and warehouses for external clients, using Synapse, Data Factory, and Fabric to enable analytics and ML.
Java Developer (with Angular)
Design and build scalable data solutions on Azure for a global healthcare data platform, focusing on data lakes, governance, and analytics.
Senior Data Engineer
Senior Data Engineer builds and modernizes analytics platforms using Microsoft Fabric, Power BI, Python, PySpark, and Delta Lake to migrate legacy systems and enable data-driven decision-making at New Zealand Customs.
New Auckland, Wellington, Christchurch Auckland, Wellington Data Engineer - Consultant
Build and maintain modern data platforms for NZ clients using Microsoft Fabric, Azure, and Databricks, delivering pipelines, warehousing, and Power BI reports in a hands-on consulting role.
Data Architect
Design and implement a unified people-data architecture for a government department, defining models, standards, and reusable logic to replace fragmented systems.
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
Senior Data Engineer builds and modernizes NZ Customs’ analytics platform using Microsoft Fabric, Power BI, PySpark and Delta Lake to replace legacy ETL systems.
Senior Data Engineer: Modern Data Platform & Lakehouse
Designs and builds scalable data pipelines and Lakehouse models using Microsoft Fabric, Delta Lake, SQL, and PySpark to modernize analytics and reporting for NZ Customs.
Lead Databricks Data Engineer - Lakehouse & AI Pipelines
Lead a team building and optimizing Databricks-based data pipelines and lakehouse platforms on Azure for enterprise clients, mentoring engineers and guiding delivery plans.
Senior Data Engineer
Build and modernize a national customs analytics platform using Microsoft Fabric, PySpark, and Power BI to replace legacy ETL systems.
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.
Remote Data Engineer & AI Solutions Consultant
Designs and implements modern data architectures for large clients, leading delivery of scalable solutions using Databricks, Snowflake, Microsoft Fabric, and dbt.
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.
Senior Data Engineer: Azure & Databricks for Enterprise Data
Designs and builds scalable data pipelines using Azure Databricks and Microsoft Fabric for enterprise clients.
Senior Data Engineer: Azure & Databricks for Enterprise Data
Designs and builds scalable data pipelines using Azure, Databricks, and Microsoft Fabric, collaborating with clients and teams to shape modern data architectures.
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.