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Leads software development for fraud detection systems at a regional bank, managing Agile teams, designing enterprise solutions, and ensuring compliance with financial regulations using .NET, React, and cloud/AWS tools.
Build and maintain enterprise-scale data pipelines on Microsoft Azure, enabling reliable, secure data flows for analytics and decision-making across Rabobank’s agribusiness-focused operations.
Builds and maintains Snowflake-based data pipelines and models, using dbt, Kafka, and Python to deliver scalable, high-quality datasets for analytics and AI initiatives in a travel-focused loyalty/engagement platform.
Build and maintain scalable data pipelines and web crawlers using Python, Scrapy, PySpark, and SQL to power McKesson’s healthcare data platform.
Builds and maintains secure data pipelines, semantic models, and Power BI reports in Microsoft Fabric, ensuring governed, scalable analytics and AI-ready data layers.
Builds and optimizes cloud data pipelines and platforms using PySpark, SQL, and Microsoft Fabric to enable enterprise-wide analytics and reporting.
Designs and builds a modern Microsoft-centric data platform to turn enterprise data into scalable analytics, AI, and reporting capabilities.
Builds predictive models and analyzes large payment datasets using Python, Spark, and ML to improve fraud detection and client solutions in a global fintech payments company.
We are looking for a skilled Data Engineer with strong DBT experience to design, develop, and optimize scalable data transformation pipelines on modern cloud data platforms. The ideal candidate should have hands-on…
Build and maintain SCOR’s enterprise data platforms (Databricks, Palantir Foundry) by automating pipelines, monitoring, and access controls to enable secure, scalable data delivery for analytics teams.
Lead a team to design, build, and deploy Python-based data pipelines and cloud applications using PySpark, AWS, and Agile practices for enterprise clients.
Lead a team building and scaling a secure, AI-driven KYC and risk data platform using Python/Java, Databricks, Spark, and cloud-native tools to support JPMorganChase’s global operations.
Build and maintain PySpark/Hadoop pipelines to process marketing data, support A/B testing and MMM, and enable CRM/CDP analytics for Visa’s global campaigns.
Builds governed Databricks data products and AI-enabled solutions that translate plant operations into trusted, enterprise-wide insights while balancing local flexibility with standardization.
Builds and maintains PySpark-based ML pipelines for anomaly detection and root cause analysis in semiconductor manufacturing, optimizing distributed data processing and deploying scalable models in production.
Build and maintain AI/ML systems that detect fraud and cyber threats in real time for Mastercard’s global payments network, using Python, PySpark, and MLOps tools.
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…
Senior Data Engineer builds and scales Chip’s data platform using Databricks, Python, PySpark, and SQL to enable a data-driven fintech wealth app.
Build and optimize large-scale data pipelines in Python and PySpark using Databricks, Snowflake, and AWS to power machine learning and GenAI initiatives.
Part-time consultant builds and maintains data pipelines and cloud-native analytics platforms, working with clients to turn raw data into business insights using Python, SQL, and modern data stack tools.
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