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Build and maintain DVJ’s data pipelines, Microsoft Fabric platform, and AI-enabled analytics to automate insights and support marketing research for global brands.
Designs and builds the data infrastructure that feeds and governs AI models and tools, ensuring secure, scalable, and reliable data pipelines for enterprise use.
Architect and own a scalable data platform for a fintech startup, ingesting real-time data to power fraud-detection models and MLOps infrastructure.
Build and maintain scalable data pipelines for AI/ML projects using Python, PySpark, SQL, and cloud platforms like AWS/GCP/Azure.
Build and maintain AI/ML pipelines, transform data with Python/SQL/PySpark, and deploy LLMs using Databricks and MLOps/LLMOps practices.
Leads a team building scalable data pipelines and infrastructure to optimize the Dutch electricity grid for the energy transition using Python, SQL, AWS, Kubernetes and MLOps tools.
Senior ML & Data Engineer builds and deploys scalable AI/ML pipelines and LLM-driven solutions using Python, PySpark, and Azure Databricks in a banking/insurance environment.
Lead data engineering projects for clients, design scalable cloud platforms, and mentor teams to turn data into business value using tools like Databricks and cloud providers.
Own and automate ML pipelines on Azure and Databricks, from data ingestion to model monitoring, ensuring reliability and observability for applied AI systems.
Build secure, scalable data pipelines and APIs to power AI tools and RAG-based solutions for a leading European online brokerage.
Build and own the financial data pipeline for a global tax-compliance SaaS leader, designing Snowflake schemas and dbt models that power billing, revenue recognition, and close-ready outputs for finance teams and AI consumers.
Build and maintain data and AI platforms, focusing on MLOps, LLMOps, and governance to enable organizations to deploy AI systems independently.
Build secure, scalable data pipelines and APIs to power AI tools and RAG-based solutions for a fast-growing European online brokerage.
Senior Data Engineer builds and maintains Snowflake/dbt pipelines for financial metrics (ARR, Rev Rec, Close Pack) and ensures reliable, close-ready outputs for finance and AI consumers.
Build and maintain NATO’s secure, scalable data infrastructure using Python, Kubernetes, and cloud/airgapped tooling to power reliable data pipelines and AI/ML workloads across the Alliance.
Build and own the data infrastructure for a risk-detection platform serving e-commerce and logistics, designing pipelines, warehouses, and MLOps to process millions of real-time events.
Build cloud-native data infrastructure that powers AI/ML features for a cybersecurity product, designing scalable pipelines and ensuring reliable data flows from source to model.
Design and build scalable data pipelines and cloud architectures (Azure, Databricks, Snowflake) to power analytics and AI solutions for clients.
Designs and deploys enterprise-grade AI/ML and Generative AI solutions in Python, integrating them into Azure DevOps CI/CD pipelines and MLOps workflows under banking-grade security and governance.
Build and maintain scalable data pipelines and infrastructure to power AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
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