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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
Builds and maintains cloud-based data pipelines and infrastructure for clients, using tools like Databricks, Spark, Airflow, and Terraform to process and store data at scale.
Senior Data Engineer
Build and maintain a scalable data platform for a quantitative investment firm, using Python, Airflow, and AWS to process market data and support research workflows.
Fabric Data Engineer
Build and engineer Microsoft Fabric lakehouses and data pipelines for enterprises, defining best practices, CI/CD, and scalable architectures while bringing software engineering rigor to data platforms.
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.
Data Engineer - Databricks
Build and maintain scalable data pipelines on Databricks for clients in healthcare and banking, ensuring reliable data flows that power analytics and AI systems.
Lead Data Engineer
Lead a team of data engineers to design, build, and maintain scalable data pipelines and infrastructure for AS Watson’s retail brands, ensuring robust, production-ready data solutions.
Senior Data Engineer
Designs and builds scalable data platforms using Azure, Databricks, and Snowflake, focusing on ETL/ELT, data modeling, and DevOps practices to deliver end-to-end data solutions.
Azure Data Engineer
Builds scalable cloud data pipelines and platforms using Azure, Snowflake, Databricks, and Python for healthcare and public-sector clients.
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.
Azure Data Engineer
Build and optimize Azure-based data pipelines using Python, Spark-SQL, and Azure services like Databricks and Data Factory.
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.
Data Engineer
Build and maintain data pipelines for EV charging networks, ensuring reliable data for smart charging and energy optimization using AWS, Databricks, and Python.
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.
Data Engineer
Builds scalable data pipelines and AI-ready infrastructure for logistics and energy clients using Spark, Fabric, and cloud platforms like AWS/Azure/GCP.
Azure Data Engineer
Design and build scalable Azure data pipelines using PySpark, Python, DBT, and Databricks to transform raw data into insights for clients in healthcare, government, finance, and more.
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.