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Principal engineer leading Nike’s next-gen marketing data platforms, analytics engineering, and AI-driven insights to power global paid media, consumer engagement, and ad-tech systems.
Design and lead Campbell’s enterprise data platform using Databricks, Azure, Delta Lake, and Medallion Architecture to build secure, governed data solutions that power analytics and business decisions.
Builds governed Databricks data products and AI-enabled solutions that translate plant operations into trusted, enterprise-wide insights while balancing local flexibility with standardization.
Build and optimize scalable data pipelines and models in Databricks/Spark to power analytics and ML for a fast-growing hardware company.
Build and maintain scalable document parsing pipelines and multimodal AI systems to extract, index, and retrieve content for GenAI applications on Azure.
Unsere Business Line «Data, Analytics & AI» ist verantwortlich für die Bereitstellung und Nutzung von Technologieplattformen, welche die Wertschöpfung unserer Kunden fördern. Die zahlreichen exklusiven Projekte…
Nous recherchons un Data Engineer motivé, capable de concevoir, développer et industrialiser les pipelines permettant d’alimenter notre Data Platform à partir des différents systèmes d’information du Groupe. Vous…
Build and scale data pipelines, ML infrastructure, and distributed services to power ZipRecruiter’s job-matching platform using Python, Spark, Kafka, and Kubernetes.
Leads the design and maintenance of patient-experience analytics and reporting using Databricks, Tableau, and Qualtrics to deliver dashboards and insights that help leaders and clinicians improve care.
Shape the future of trust in the age of AI At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit,…
ABOUT THE ROLE I In this role, you will contribute to developing scalable cloud-based data solutions on AWS using Databricks and modern big data technologies. You will work on batch and streaming data pipelines,…
Build and scale backend infrastructure for Databricks’ data and AI platform, including distributed systems, Kubernetes, and cloud storage integrations.
Builds and improves Databricks’ full-stack web interfaces (React, Node.js, Python/Scala) for SQL analytics, workflows, and developer tooling on a cloud-scale data platform.
Build and maintain scalable data pipelines and models to support finance, accounting, and billing teams with accurate, timely financial reporting using tools like Snowflake, dbt, and Airflow.
Job Summary We are looking for an experienced Senior Data Engineer – Databricks to design, develop, and maintain scalable data pipelines on the Databricks platform. The role requires strong expertise in PySpark,…
POSITIONOVERVIEW : Data Engineer (Cloud) POSITIONGENERAL DUTIES AND TASKS : Position Name: Data Engineer (Cloud) Term: 12 Months Minimum Relevant Experience: 5 Years Start Date: Immediate Key Skills: Oracle, MS SQL,…
Build and maintain scalable data pipelines on Databricks and cloud platforms, integrating diverse sources and ensuring high-quality data for analytics and ML workloads.
Build and maintain data pipelines, optimize SQL and Python code, and design robust data models to power analytics and dashboards using Databricks and Azure.
Build and maintain scalable ETL pipelines in Databricks to feed Marketing Mix Modeling and Optimization projects, working closely with data scientists and client stakeholders.
Build and scale real-time, globally distributed data pipelines and identity graphs for an adtech platform using Python, Spark, and cloud infrastructure.
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