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Build and maintain AI-powered search infrastructure: ETL pipelines, semantic embeddings, document processing, and retrieval systems to power accurate AI responses.
Designs and builds scalable data pipelines using Kafka, Spark, and cloud tools, and advises clients on data architecture.
Build and maintain scalable data pipelines on GCP for AI initiatives, using Python, SQL, dbt, and BigQuery to enable large-scale analytics and ML workloads.
Design and build scalable cloud-native AI data platforms and pipelines using Python, Spark, and Kafka to power machine learning and GenAI initiatives for enterprise clients.
Build cloud-native, real-time data pipelines and AI-driven regulatory solutions for a global investment bank using distributed systems and modern cloud tech.
Build and maintain high-performance data pipelines and applications using Kafka to power AI-driven talent-matching products for recruiters.
Builds and maintains scalable data pipelines for AI applications, collaborating with data scientists and ML engineers using Python and SQL.
Design and build scalable data pipelines and applications using Azure and Databricks for clients across industries.
Senior Robotics Data Engineer builds and maintains data pipelines for vision systems and telemetry to train foundational AI models in robotics.
Designs and verifies Spark/Scala data pipelines and cloud infrastructure for a consultancy specializing in big-data and cloud migration projects.
Design and implement data security policies using tools like Redgate, Varonis, and Symantec DLP to protect sensitive data in enterprise environments.
Designs and builds distributed data-processing pipelines using Spark/Scala or Python, integrating and optimizing large-scale datasets for analytics.
Digital & Technology Team (D&T) is an integral division of HEINEKEN Global Shared Services Center. We are committed to making Heineken the most connected brewery. That includes digitalizing and integrating our…
Builds and refines the pricing-optimization engine that powers Fetcherr’s AI-driven revenue management system using Python, mathematical optimization, and PyData tools.
Design and build GCP-based data pipelines and models for financial crime analytics, then visualize insights in Power BI and MS Fabric.
Build and maintain scalable big-data pipelines on Azure Databricks using Spark/Scala, Kubernetes, and Terraform for a hybrid role in Kraków.
Build and optimize scalable data pipelines using Databricks, PySpark, and Azure for a modern fintech data platform.
Build and maintain scalable Big Data pipelines on Azure Databricks using Scala/Java, ensuring reliable runtimes and CI/CD integration for a global client project.
Lead a team of Java engineers to design and implement a scalable data platform for trade capture, integrating with operations and regulatory systems while driving cloud modernization.
Design and maintain AI/ML software for automotive ADAS and UX systems, building predictive models and ensuring data quality for ML training.
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