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Data Engineer: Azure & Quantexa (Hybrid/Remote)
Builds scalable data pipelines and analytics using Azure, Fabric, and Quantexa for financial and regulatory clients, integrating Spark, Scala, and Power BI.
Data Engineer – Rail Maintenance Forecasting (Remote)
Build data infrastructure to forecast rail maintenance, improving train and tram availability using Python/Java, SQL/NoSQL, and Spark/Hadoop.
GCP Scala Data Engineer — Hybrid Finance Data Lakes
Designs and builds scalable data pipelines and modernizes data warehousing systems using Scala, Hadoop, and Spark in a hybrid finance-focused environment.
Lead Data Engineer – m/v/x
Lead a team to design and build scalable Azure data pipelines and productionize ML models, using Databricks, Spark, Kafka and Python/Java.
Data Engineer Team Atlas
Senior Data Engineer builds and maintains secure data pipelines and warehouses for a bank, using Python, SQL, and cloud platforms like AWS/Azure.
Senior Data Engineer (Microsoft Azure)
Build and optimize scalable Azure data pipelines using Synapse, Data Factory, Databricks, and Fabric to support real-time and batch analytics for enterprise customers.
Senior Data Engineer (Microsoft & Quantexa)
Senior Data Engineer builds and optimizes Azure-based data pipelines and Power BI reports for financial crime and compliance use cases, integrating Quantexa’s graph analytics.
Head of Data Engineering
Leads the design and implementation of a large-scale data ecosystem, setting architecture and engineering standards to drive business intelligence and data-driven decisions.
GCP Scala Data engineer
Build and maintain GCP-based data pipelines and data lakes for a finance client, using Scala and Spark to industrialize ML/OR models and replace legacy warehousing systems.
Data Engineer (Microsoft & Quantexa)
Builds scalable data pipelines and analytics using Microsoft Azure, Fabric, and Quantexa for financial and regulatory clients.
Data Engineer (Microsoft & Quantexa)
Build and maintain scalable data architectures using Azure, Fabric, and Quantexa, developing pipelines, APIs, and analytics for financial and regulatory use cases.
Senior Data Engineer
Build and maintain data pipelines, integrate sources, and enable analytics for clients using SQL, Python, and cloud platforms like AWS/Azure.
Senior Data Engineer
Build and optimize scalable data infrastructure, ETL/ELT pipelines, and microservices to transform raw data into actionable insights for enterprise clients using Python, SQL, cloud platforms, and big data tools.
Data Engineer (Azure)
Build and maintain Azure-based data pipelines and warehouses for clients, using SQL, Python, and Databricks to turn raw data into scalable analytics solutions.
Data Engineer Amsterdam
Build and optimize a data platform serving millions using open-source tools like Spark and Python, focusing on performance, cost, and data quality.
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.
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.
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.
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.
Data Engineer
Build and maintain scalable data pipelines using Python, Kafka, and Hadoop in a startup environment, focusing on ingestion, storage, processing, and security.