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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 Engineer
Builds and optimizes Azure-based data pipelines, migrates to Microsoft Fabric, and strengthens cloud security and MLOps for a modern data platform powering AI solutions.
Data Engineer – Lakehouse & Cloud Pipelines (Remote)
Build and optimize cloud-based data pipelines using Databricks and related tools, managing storage and orchestration for multiple clients.
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.
Senior Data Engineer - Data Capabilities
Build and maintain scalable data pipelines and analytics solutions in Azure/Databricks to power financial crime compliance and regulatory reporting for a global bank.
Senior Data Engineer
Designs and builds scalable cloud-native data platforms and pipelines for healthcare clients, using Azure/AWS/GCP, Databricks, Airflow, and Kafka to enable secure, compliant analytics and governance.
Senior Data Engineer
Design and build scalable data pipelines and modern data platforms for clients, using cloud tools, SQL, Python, and dbt to enable analytics and AI-driven solutions.
Medior Data Engineer - NL
Designs and builds end-to-end data pipelines, cloud data platforms, and automated ELT processes for clients, ensuring scalable, secure, and high-quality data architectures.
Azure Data Engineer
Build and maintain ETL/ELT pipelines on Azure using Databricks, PySpark, and Delta Lake to move and transform data for analytics and reporting.
Senior Data Engineer
Build and scale data pipelines for a quantitative trading firm, integrating market and alternative datasets with cloud and lakehouse tech.
Senior Data Engineer
Design, build, and maintain scalable data pipelines and warehouses using Azure Synapse, Databricks, and Power BI to deliver insights for customers.
Senior Data Engineer
Design and build scalable cloud-native data pipelines and platforms that power analytics, ML, and AI for enterprise clients.
Platform Data Engineer
Build and maintain cloud-based data platforms using Azure/AWS/GCP and infrastructure-as-code for clients in IT services.
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.
Enterprise Data Engineer
Design and build scalable data pipelines and curated models on Databricks Lakehouse to deliver trusted KPIs and self-service analytics for Finance, HR, and Operations teams.
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.
(Senior) Data Engineer
Build and maintain scalable Azure data pipelines, integrate data sources, and optimize processing for analytics and AI workloads using Synapse, Databricks, and Fabric.
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 (NL)
Build and optimize Databricks-based data pipelines on Azure, AWS or GCP, translating client needs into scalable lakehouse architectures while staying current with the latest Databricks features.
Fabric Data Engineer
Design and build scalable data platforms using Microsoft Fabric, guiding clients through architecture, pipelines, governance, and analytics with Azure integration.