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Build and maintain ETL pipelines in Microsoft Fabric to ingest mortgage data, enforce quality checks, and power analytics and compliance reporting.
Salary: 145000 Data Engineer / Permanent / Auckland / $150k NZD About the Company Our client is a Private Equity backed healthcare services organisation operating across Australasia. They're mid transformation,…
Senior Data Engineer designs and builds scalable data platforms (data lakes, warehouses, pipelines) for clients, using cloud tools (GCP/Azure), ETL/ELT (dbt, Snowflake), SQL and Python to deliver reliable, high-performance data solutions.
Leads the design and rollout of a secure, governed data and AI platform for a major media/public-sector client, integrating GCP/AWS, Kubernetes, Kafka, and Collibra with strict data-security and DevOps practices.
Design and maintain data pipelines, governance, lineage, and OMOP modeling for a precision-medicine platform that integrates omics data for medical research.
Designs, builds, and maintains scalable data pipelines and streaming architectures using Spark, Kafka, and Python, while enforcing data quality, observability, and CI/CD practices for enterprise clients.
Build and maintain data pipelines in Microsoft Fabric, centralize student, marketing, and LMS data into a secure lakehouse, and deliver Power BI dashboards for admissions, marketing, and academic performance.
Build and maintain scalable data pipelines and ETL processes to power AI model training and analytics at a cutting-edge AI company.
Build and scale a cloud-native data platform on AWS, driving real-time analytics, personalization, and AI-powered data products for millions of users.
Senior Data Engineer designs and implements cloud data warehouses, ETL/ELT pipelines, and data models for clients across finance, healthcare, government, and other sectors.
Build and maintain data pipelines in Palantir Foundry using Python and SQL to integrate diverse data sources and support analytics workflows.
Build and maintain cloud data pipelines on AWS, transform data in Snowflake with dbt and PySpark, and deliver analytics for regulated industries like banking and healthcare.
Design and maintain data models, ETL pipelines, and warehouses in Python/SQL to support audit and risk analytics for financial clients.
Leads data-engineering engagements for clients, designing cloud data platforms (AWS/Azure/GCP), building ETL pipelines, and coaching teams while advising on governance and modernisation.
Design and build GCP-native data pipelines for a Finance Transformation program, including Workday and Oracle Finance connectors, unified data models, and real-time lineage tracking for healthcare and government clients.
Design and build a scalable data infrastructure for a global PE fund using Snowflake, dbt, and Azure Data Factory to support analytics and AI initiatives across investment teams.
Design and build scalable data lakes, warehouses, and pipelines using Python, SQL, and cloud platforms to power analytics and reporting for a financial-services company.
Design and maintain cloud data pipelines on AWS, build ETL/ELT workflows, and optimize Snowflake data warehouses using PySpark, dbt, and SQL for analytics in regulated industries.
Salary: $117734 - $146513 p.a. Data Engineer (x2) Phase one of a multi-year programme through to November 2026 Work with cutting edge technology and IT professionals Appointing salary range - $117,734 - $146,513…
Manager, Analytics and Data Enablement Location: Canadian Head Office, Quebec Office Remote Type: Hybrid Time Type: Full time Job Description At Allstate, great things happen when our people work together to protect…
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