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Senior Data Engineer: Build Scalable Cloud Pipelines
Build and maintain scalable cloud data pipelines using Spark, Airflow, Azure, and AWS to process and transform large datasets.
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.
Data Engineer – Informatica (ID:3398)
Designs and maintains Informatica-based ETL pipelines and data warehouses, building scalable pipelines for enterprise analytics and reporting.
Senior Machine Learning & Data Engineer
Senior ML & Data Engineer builds and deploys scalable AI/ML pipelines and LLM-driven solutions using Python, PySpark, and Azure Databricks in a banking/insurance environment.
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.
Azure Data Engineer – AI-Ready Pipelines, Hybrid Work
Builds scalable Azure data pipelines and AI-ready data solutions using Python, Databricks, and Spark in a collaborative, hybrid-work environment.
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.