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Data Engineer, AI Pipelines & Lakehouse (Hybrid)
Builds and maintains data pipelines for AI training and analytics using Databricks, GCP, and Azure, ensuring clean data for models and reporting.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI model training, RAG-based search, and enterprise analytics.
Senior Data Engineer - AI-Ready Data Pipelines
Design and maintain scalable data pipelines for a fintech platform, enabling analytics and AI use cases across warehouses, lakes, and lakehouse architectures.
Senior Data Engineer
Design and maintain scalable data pipelines and integrations for education technology products, ensuring data quality, governance, and security while mentoring teams.
[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.
Data Engineer
Build and maintain AWS and Databricks data pipelines to support global supply-chain analytics, using PySpark, Glue, Lambda, S3, and Redshift.
Azure Back-End Engineer: Cloud-Native & AI-Driven (Hybrid)
Builds and deploys cloud-native microservices in C#/.NET or Python on Azure, integrates AI models, and maintains scalable REST APIs and data pipelines.
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.
Senior Data Architect & AI Strategy Lead — Flexible Work
Leads data architecture design and AI strategy for client projects, building lakehouse/medallion structures and guiding secure, scalable data foundations.
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.
Data Engineer / Developer - Databricks
Data Engineer specializing in Databricks to design and implement scalable data architectures for clients in healthcare, finance, and government, using Delta Lake, Unity Catalog, and PySpark.
Data Engineer
Design and maintain data pipelines and trusted data products using Snowflake, Databricks, SQL, and Python to power analytics and decision-making across a university.
Senior Data Solutions Engineer (Pre-Sales)
Pre-sales engineer at Databricks who builds demos, runs Spark workshops, and advises customers on data-lakehouse architectures to turn their analytics challenges into actionable solutions.
Data Platform Engineer, Mirka
Own and evolve Mirka’s Azure Databricks lakehouse platform, setting standards and enabling scalable analytics and AI initiatives.
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 DATA ENGINEER
Senior Data Engineer builds scalable data pipelines and architectures (Snowflake, Databricks, dbt) to help clients turn data into AI-driven business value.
Senior Databricks Data Engineer - Spark, ETL & Pipelines
Design and build scalable Databricks Lakehouse pipelines using Spark, SQL, Python, and Scala to deliver robust ETL solutions and optimize data workloads.
Senior Data Engineer
Senior Data Engineer builds and modernizes a cloud-based data platform using Microsoft Fabric, migrating legacy SQL Server/SSAS solutions and enabling AI-driven analytics and reporting.
Senior Databricks & Data Engineering Consultant
Design and implement Databricks Lakehouse pipelines, optimize Spark workloads, and lead client workshops using SQL, Python, and Scala.