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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.
Senior Azure Data Engineer (ID: 3508)
Design and build scalable Azure data pipelines using Databricks, PySpark, and Azure services to process and transform enterprise data for analytics and migration projects.
Data Engineering Azure/MS Fabric/Databricks
Build and optimize data pipelines for Fortune 500 clients using Azure, Microsoft Fabric, and Databricks, focusing on ingestion, transformation, and modeling.
Azure Data Engineer: Fabric & Databricks Expert
Design and implement scalable data pipelines and modern architectures using Azure, Databricks, and Microsoft Fabric for Fortune 500 clients.
Data Engineering Azure/MS Fabric/Databricks
Build and optimize data pipelines for Fortune 500 clients using Azure, Microsoft Fabric, and Databricks, handling ingestion, transformation, and modeling in cloud environments.
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.
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.
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.
Azure Data Engineer: Databricks, Fabric & Cloud Pipelines
Builds and optimizes Azure-based data pipelines using Databricks and Microsoft Fabric for enterprise clients, focusing on scalable cloud solutions.
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.
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.
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.
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 - Platforms
Design and operate Microsoft Fabric-based data platforms, building scalable ETL/ELT pipelines in Python and PySpark to support clean-energy infrastructure analytics.