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Data & ML Infrastructure Engineer
Build and maintain a cloud-agnostic data and ML platform for scalable, reproducible model training and deployment across multiple products, ensuring reliability, cost-efficiency, and EU compliance.
Senior Data & Cloud Engineer
Build and scale a cloud-native data and AI platform for real-time industrial analytics and cyber-physical system security using AWS, Kubernetes, Terraform, and Kafka.
Cloud Engineer
Build and lead scalable data platforms on Azure (Databricks, Synapse, Data Lake) to turn business challenges into data-driven solutions, while mentoring peers and collaborating with data scientists.
Data Engineering Xccelerator: Bootcamp + Real-World Projects
Build and deploy scalable data pipelines, warehouses, and ML systems using Python, Spark, Kafka, and cloud tools, while learning on real client projects.
Data Platform Engineer
Design and maintain a secure, scalable data platform for multimodal medical datasets, enabling AI training and real-time hospital workflows using open-source tools like Kubernetes, Terraform, and Dagster.
NP | Data Engineer | Consultancy | Nijmegen/Eindhoven | 93k
Design and build data pipelines to process and transform client data into insights using Python, SQL, and cloud platforms like AWS or Azure.
Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines for AI/ML projects using Python, PySpark, SQL, and cloud platforms like AWS/GCP/Azure.
Cloud Data Engineer: Build Scalable Platforms & Pipelines
Build and maintain scalable cloud data platforms and pipelines using Python, Spark, Kafka, and Airflow for analytics and ML at leading organizations.
Senior Data Engineer (Dutch speaking)
Lead a team to build and maintain cloud data platforms on AWS/Azure/GCP using Python, SQL, and CI/CD, ensuring scalable, secure data infrastructure aligned with business needs.
GCP Data Engineer
Senior GCP Data Engineer builds and optimizes scalable data pipelines and CI/CD workflows using BigQuery, Dataflow, and Kubernetes, ensuring security and cost efficiency.
Data Engineer Python SQL
Build cloud-native data pipelines and platforms for AI products using Python, SQL, Airflow, and GCP, processing billions of records to feed ML models.
Azure data engineer
Build and optimize Azure-based cloud data pipelines and infrastructure for a client’s digital transformation, using Python, Terraform, and Databricks.
Vacature Data Engineer
Build and optimize cloud-based data pipelines, warehouses, and streaming APIs for diverse clients, using Python, Spark, and cloud platforms like AWS/Azure/GCP.
Data Engineer (NL)
Build and maintain data pipelines, data warehouses, and production-ready ML systems for clients like ING or ASML using Python, Spark, Kafka, and cloud tools.
Senior Data Engineer
Senior Data Engineer builds and scales the data platform powering BridgeFund’s lending decisions, risk models, and analytics using Python, PySpark, SQL, and Databricks.
Senior Data Engineer
Senior Data Engineer builds cloud pipelines to move energy data from on-site systems to the cloud and helps integrate ML models for Ampowr’s Energy Management System.
Consultant Data Engineer
Build and optimize cloud-based data pipelines and ML infrastructure for client projects and internal AI tools using Python, Docker, Kubernetes, and GCP/AWS/Azure.
Staff Data Engineer
Build and maintain a self-serve data platform for a large classifieds marketplace, owning batch and streaming pipelines, lake management, and APIs that power analytics and ML workloads using Databricks, AWS, Spark, Python, Kafka, and Airflow.
Platform Data Engineer
Build and maintain a scalable data platform for a Dutch gambling organization using Azure Databricks, Python, and Spark to enable real-time fraud detection and responsible gaming analytics.
Consultant Data Engineer
Build and deploy cloud-native data pipelines, ML infrastructure, and DevOps tooling for consulting projects using Python, Docker, Kubernetes, and GCP/AWS/Azure.