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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.
Senior Data Engineer (ID:3458)
Senior Data Engineer builds and maintains scalable Azure-based data pipelines using Databricks, Synapse, and Oracle ERP integrations to power analytics and reporting in Power BI.
Senior Azure Databricks Data Engineer — Data Governance
Design and build scalable cloud data platforms using Azure Databricks, dbt, and Spark; develop ETL/ELT pipelines, data models, and enforce data governance for enterprise datasets.
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.
Principal Data Engineer (Amsterdam)
Principal Data Engineer builds scalable cloud-native data pipelines and mentors teams using Python, Spark, Kafka, and AWS, while shaping technical direction for clients.
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.
Senior Big Data Engineer
Senior Big Data Engineer builds and optimizes scalable data pipelines to transform Swisscom’s network data into AI-driven insights for telecom strategy, using Python, Spark, and cloud tools.
Medior/Senior Data Engineer
Build and maintain scalable data pipelines and infrastructure using Python, Scala, Kafka, Airflow, and Kubernetes to power analytics and ML at a media-tech company.
Data Engineer (Microsoft & Quantexa)
Builds scalable data pipelines and analytics using Microsoft Azure, Fabric, and Quantexa for financial and regulatory clients.
Azure Data Engineer - Banking
Build and maintain Azure-based data pipelines and analytics platforms for a banking client using Azure Data Factory, Synapse, Databricks, and PowerBI.
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.
Fabric Data Engineer (Eindhoven)
Build and deploy Microsoft Fabric lakehouses and pipelines for enterprise clients, enforcing engineering rigor, CI/CD, and scalable architectures while mentoring teams on best practices.
Managed Services Data Engineer
Designs and maintains Azure Databricks lakehouse architectures, tuning pipelines and monitoring for 24/7 reliability while collaborating with client teams.
Azure Databricks Data Engineer
Senior Data Engineer builds scalable Azure Databricks pipelines with Python, Spark, dbt, and Azure Data Factory to deliver clean, governed data for analytics and reporting.
Managed Services Data Engineer
Designs and maintains Azure Databricks pipelines and lakehouses to ensure reliable, high-performance data platforms for clients, using Python, SQL, and modern data-ops practices.
Senior Data Engineer - Informatica & Data Lakes
Designs and maintains data integration pipelines using Informatica to build and optimize Data Warehouse and Data Lake platforms for enterprise-level analytics.
Data Engineering AWS/GCP
Build and optimize cloud data pipelines on AWS/GCP, integrating big-data tools like Spark and Kafka to deliver scalable analytics for Fortune 500 clients.
Senior Data Engineer
Design and build large-scale data pipelines in Python/Scala and Spark to curate high-quality datasets for training next-gen AI models at TB/PB scale.
Senior Data Engineering Leader – Azure & Pipelines
Lead data engineering projects for clients, designing and building scalable Azure-based pipelines with Python, Spark, and RESTful APIs to enable analytics and insights.
Senior Data Engineer - Data Capabilities
Senior Data Engineer builds and maintains scalable data pipelines and analytics solutions in Azure to support financial crime compliance and regulatory reporting for a global bank.