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Senior Data Engineer
Senior Data Engineer builds and advises on scalable data platforms, ETL/ELT pipelines, and cloud infrastructure for Dutch clients, using Python, SQL, and cloud tools like AWS/GCP/Azure.
Senior Data Engineer
Design, build, and optimize robust data pipelines and data warehouses for clients, mentor junior engineers, and present technical concepts clearly to stakeholders using Python, SQL, and Azure.
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.
Medior Data Engineer
Build and maintain scalable data pipelines and analytics solutions for clients in industries like healthcare, logistics, and fintech using Python, SQL, Azure, Spark, and Kafka.
Data Engineer II
Build and maintain scalable data pipelines and datasets to power customer messaging, rewards, and analytics for Booking.com’s travel platform.
Python Data Engineer
Build scalable data pipelines and realtime analytics platforms in Python, Spark, and cloud (GCP/AWS/Azure) for enterprise clients like KLM and ASML.
Python Data Engineer
Builds and maintains data pipelines in Python, Oracle, and WhereScape to feed PowerBI dashboards and migrate the stack to Azure Cloud.
Senior Data Engineer
Build and maintain scalable data pipelines using Python, PySpark, and SQL, applying software engineering best practices to data architectures in Azure and GCP.
Principal Data Engineer
Principal Data Engineer designs and builds scalable, sovereign data platforms for government and enterprise clients, integrating cloud-native pipelines, AI, and open-source tech like Kafka, Spark, and Kubernetes.
Lead Data Engineer
Leads end-to-end data engineering projects, designing scalable ETL/ELT pipelines and cloud-based data architectures while coaching a team of engineers to deliver reliable, high-impact data solutions for enterprise clients.
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.
Data Engineer (Kubernetes)
Build and deploy cloud-native data platforms on Kubernetes, containerizing workloads and integrating tools like Airflow and Spark while collaborating with data scientists to productionize models.
Medior Data Engineer
Build and maintain scalable, 24/7 data pipelines and analytics solutions for clients in industries like healthcare, energy, and logistics using SQL, Python, Azure, Spark, and Kafka.
Sr. Data Engineer
Design and maintain scalable data pipelines and cloud-based ETL workflows to feed analytics and ML systems, using Kafka, REST APIs, and AWS/Azure.
Data Engineer Intern
Build and optimize data pipelines for gaming analytics, processing real-time and batch streams with Python/Java/Go and SQL.
Core Data Engineer
Build and maintain core financial data pipelines (Security Master, ETF compositions, market data) using Python, SQL, Airflow, Kafka, and GCP to ensure high-quality, reliable data for quantitative trading.
Data Engineer
Build and maintain scalable data pipelines using Python, Kafka, and Hadoop in a startup environment, focusing on ingestion, storage, processing, and security.
Data engineer
Designs and maintains scalable data pipelines in Microsoft Azure Fabric, transforming raw data into reliable analytics-ready datasets using Azure Synapse, Data Factory, Spark and SQL.
Data Engineering
Build and maintain scalable data platforms using Python, Spark, Kafka, and cloud-native tools, then embed with partner orgs to deploy ML models and analytics in production.
Data Engineer
Design and maintain scalable data pipelines using AWS, Databricks, and Python to process and integrate healthcare data for analytics and reporting.