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Build and maintain a hybrid Spark-based data platform (Databricks + on-premise) for a Dutch government agency, enabling 7,500 colleagues and external partners to access reliable, automated data insights and AI-driven applications.
Build and scale Adyen’s on-premise big-data platforms (500+ nodes, 23+ PB storage) using Java, Python, Spark, Kafka, and Druid to power real-time analytics and data pipelines for 10s of products.
Senior Data Engineer building cloud-based data pipelines and platforms on AWS to accelerate the Netherlands’ energy transition using Snowflake, Terraform, and automation.
Design and lead scalable cloud data platforms for enterprises like KLM and Rabobank, setting architectural standards and mentoring teams.
Builds and maintains the cloud-based data and ML platform using AWS, Spark, and Databricks to power analytics and machine learning features for a large classifieds marketplace.
Build and maintain real-time data pipelines and self-serve tooling for a fintech firm’s trading, risk, and analytics platforms.
Lead the design and delivery of scalable data pipelines and warehouses for a healthcare analytics platform, mentoring engineers and collaborating with AI/ML teams.
Build and maintain a Databricks-based operational data platform for a large European transit agency, using Terraform, Azure, and real-time streaming pipelines.
Builds and maintains a healthcare data platform, integrating complex datasets and creating information products for clinicians and stakeholders.
Build and maintain a data platform for quant research and backtesting using Python, Airflow, and AWS to process market and reference data.
Builds and maintains a healthcare data platform, designs reusable models, and enables BI reporting with Power BI and Microsoft Fabric for daily emergency care.
Build and maintain scalable data pipelines on Databricks and AWS to power analytics and ML services, ensuring reliability and governance.
Build and evolve a data platform for loan analytics, designing scalable architectures and ensuring data quality to power decision-making dashboards.
Build and maintain a self-service data platform for a crypto exchange, enabling scalable batch, stream, and ML pipelines using Python, Kubernetes, and Terraform.
Build a self-service data platform enabling product teams to create reliable data products with real-time analytics, batch processing, and ML, using Terraform and Kubernetes.
Build and scale Adyen’s real-time OLAP and distributed data platforms (Druid, Spark, Kafka) to power analytics for payments and financial products.
Leads SAP BW/BO migration from UNV to UNX, builds HR analytics pipelines, and delivers Power BI reports for a consultancy in Utrecht.
Build and deploy LLM-driven AI/ML solutions for banking and insurance using LLMOps and Azure Databricks, including ML pipelines and ETL workflows.
Senior Data Engineer at an outsourcing firm building custom data pipelines and analytics for client projects using modern tools.
Design and build cloud-based data pipelines on Azure and Databricks for a top Amsterdam sports club, optimizing processes and enabling data-driven decisions for the team and its supporters.
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