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Designs and maintains a centralised data warehouse for Commonwealth Bank using Microsoft Fabric, PySpark, and SQL, ensuring scalable data solutions and secure data sharing across the organisation.
Build and maintain a centralised Microsoft Fabric data warehouse using PySpark and SQL to deliver trusted, analytics-ready data products for CommBank’s internal technology insights.
Do work that matters As a Staff Data Engineer within Financial Services & Control Technology, you will provide technical leadership across the design, delivery, modernisation and ongoing evolution of our strategic…
Design and build scalable data pipelines on Azure/Databricks to transform admissions data into dashboards and reports for UNSW leadership and government compliance.
Designs and maintains enterprise-scale data solutions for Master Data Management (MDM), cloud data platforms, and analytics, using Java, Python, PySpark, and SQL to build scalable pipelines and APIs for global clients.
¡Se parte del principal partner de AWS en Latinoamérica y ayuda a las empresas más grandes e innovadoras a acelerar su viaje a la nube! ☁️ Somos un grupo de profesionales talentosos y apasionados en tecnologías en la…
Lead a team building and optimizing SQL Server-based data pipelines and analytics platforms on Azure, focusing on Synapse, Spark, and lakehouse architectures.
Builds and maintains data pipelines, automates reporting, and analyzes financial datasets using SQL, PySpark, and Python to support retail banking operations.
Designs and builds Delta Lake tables for financial datasets (AR, GL, invoices) using Databricks, creating PySpark pipelines for ERP data processing and integrating LLMs for semantic query tuning.
Lead a team to design, build, and deploy AI and data solutions on Databricks for enterprise clients, focusing on Lakehouse architecture, Mosaic AI, and production-grade systems.
Build and deploy ML models and statistical analyses to power pricing, recommendations, and customer insights for a luxury off-price ecommerce retailer.
Leads a team to build and modernize a cloud-based data platform for a healthcare company, migrating from a legacy data warehouse to a scalable Azure Lakehouse using Databricks and PySpark.
We’re looking for a Data Platform Engineer to help us design, build, and operate robust data solutions on Palantir Foundry. This is a high-impact, end-to-end role where engineering meets operations—you won’t just ship…
The Azure Databricks Data Engineering Lead will design and manage large-scale data pipelines and infrastructure using Azure, Databricks, PySpark, and Python. The role involves leading cross-functional teams, defining data governance policies, and building automation frameworks to support business analytics.
Senior Python developer builds and optimizes enterprise-grade financial automation systems, integrating trading platforms and market data while ensuring regulatory compliance.
Develops AI-powered audience analytics and media intelligence solutions using real-time data; builds production ML/PySpark pipelines on Databricks with MLOps best practices.
Build and deploy ML models for risk and intelligence products at scale, focusing on fraud detection and network analysis using Python, TensorFlow/PyTorch, and BigQuery.
Lead the delivery of multiple AI and Data Engineering engagements — managing pods, reviewing architectures, and engaging clients — with deep hands-on knowledge of LLMs, RAG, Agentic AI, data pipelines, and cloud platforms.
Чем предстоит заниматься: Внедрение моделей машинного обучения; Сопровождение полного цикла сборки модели; Обработка и анализ данных; Поддержание коммуникаций с разработчиками моделей; Проработка архитектуры моделей;…
Senior Data Engineer to design, build, and optimize enterprise scale data platforms using Databricks, Python, and PySpark. This role focuses on developing high-performance batch and real-time data pipelines, implementing modern data engineering frameworks, and delivering reliable, governed data solutions.
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