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Senior Data scientist / ML Engineer
Build and deploy ML models and data pipelines for enterprise clients using Python, SQL, and cloud platforms like AWS/Azure, then translate insights for stakeholders.
Data Platform Engineer (Spark & Kafka) for NATO with security clearance
Builds and maintains secure, scalable data pipelines using Python, Spark, and Kafka for NATO’s federated data-sharing environment, ensuring governance, quality, and interoperability.
Senior Data Platform Engineer
Senior Data Platform Engineer builds and maintains a self-service data platform for Ahold Delhaize teams, enabling secure, scalable data ingestion and processing using Python, Databricks, Delta Lake, and Azure.
Senior Data Platform Engineer
Build and optimize a scalable data platform using Python, Databricks, and Azure, automating pipelines and infrastructure with Terraform and CI/CD.
Senior Data Platform Engineer
Build and maintain a hybrid Spark-based data platform (Databricks cloud + on-premise) to deliver reliable, up-to-date data for 7,500+ colleagues and external government bodies, automating CI/CD and IaC with Terraform/OpenTofu.
Senior Data Platform Engineer
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.
Senior Software Engineer (Data Platform Engineer, Online Analytical Processing)
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 Cloud Data Platform Engineer
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.
Senior Data Engineering Lead - Google Cloud Platform - (remote Europe)- Contract Role
Lead a large-scale enterprise data platform migration from AWS/Databricks to GCP, designing BigQuery/Dataflow pipelines and mentoring engineers while ensuring data integrity and governance.
Software Engineer - Data
Build and maintain ETL pipelines, data quality systems, and new data products using Python, SQL, Spark, and AWS tools to power Leadinfo’s B2B lead-gen platform.
Amsterdam Data Platform Engineer — Real-Time Big Data
Build and maintain scalable big-data platforms in Python, integrating Spark and Kubernetes to support real-time analytics and ML pipelines.
Freelance Senior Data Platform Engineer
Senior Data Platform Engineer builds and improves an Azure-based data platform using Databricks, Python, and Spark to scale pipelines and governance for analytics workloads.
Senior Cloud Data Platform Engineer
Build and maintain a large-scale GCP data platform with BigQuery, Terraform, and monitoring tools like Dynatrace, while supporting Spark workloads and CI/CD pipelines.
Software Engineer - Data Integration
Build and maintain scalable data pipelines and API-first services for ad-tech, using Python, Spark, Kafka, and cloud platforms to ingest, transform, and distribute audience data reliably.
Data Platform Engineer: Spark, Kafka & Semantics
Designs and builds scalable data pipelines and semantic models for an intergovernmental organization using Python, Spark, Kafka, and governance frameworks.
Platform Engineer Data & ML
Build and optimize a Databricks-based data and ML platform that powers automated lending, credit risk scoring, and transaction categorization for a fintech startup.
Software Engineer – Data Integration
Build and operate scalable data pipelines for ingestion, processing, and distribution in an ad-tech platform, using Python, Spark, Kafka, and cloud services.
Data platform engineer
Build and maintain a modern data platform on GCP, designing scalable pipelines with Databricks, Spark, and Airflow to power analytics and ML for enterprise teams.
Data ML Engineer
Build and scale petabyte-scale data pipelines for a clinical AI assistant, focusing on ingestion, synthetic generation, and quality control to train multimodal medical LLMs.