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Senior Data Engineer
Senior Data Engineer builds and maintains scalable healthcare data pipelines using Azure Databricks, PySpark, and Medallion Architecture, while mentoring junior engineers and ensuring production-grade data quality.
Аналитик данных (Серый трафик)
Analyze traffic patterns to detect fraud in gambling/betting, build monitoring dashboards, and develop algorithms to block gray traffic using SQL, Python, and PySpark.
Senior Data Engineer Data Mall (Freelance)
Build and maintain the core data layer for a Dutch insurer’s financial reporting and portfolio analysis using Azure Databricks, Data Factory, SQL Server, and Power BI.
Senior Data Engineer – Azure/Databricks, Cloud Pipelines
Builds and maintains scalable data pipelines on Azure and Databricks using Python and PySpark to integrate and structure data for analytics and dashboards.
Senior Data Engineer
Build and maintain cloud-based data pipelines in Azure and Databricks using Python and PySpark to integrate financial and business data for SMEs.
Senior Data Engineer
Build and maintain cloud-based ETL/ELT pipelines in Azure and Databricks, design scalable data models, and operationalize AI/ML models while ensuring data quality, governance, and security.
Data engineer
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze-Silver-Gold layers.
Data Platform Lead
Lead the design and implementation of an enterprise-scale data platform using Microsoft Fabric, Azure Data Factory, Synapse, and PySpark.
Data Engineer, IS&T Ai & Data Platforms
Build and migrate data pipelines for Apple’s AI platforms in China, using Python, Spark, Kafka, and SQL to support real-time and batch processing for machine learning systems.
Full-Stack Data & AI Engineer (m/w/x)
Dein Fundament: Ein erfolgreich abgeschlossenes Studium der (Wirtschafts-)Informatik, Physik, Mathematik oder eine vergleichbare Qualifikation mit relevanter Berufserfahrung. Tech-Stack & Erfahrung: Einschlägige…
Senior Data Engineering Analyst
Build and maintain scalable data pipelines in AWS using PySpark, Apache Airflow, and modern cloud services to modernize legacy processes and deliver high-quality data products.
Generative AI Engineer III - State and Local Government
Build and deploy generative AI and ML models for state/local government clients, including data pipelines, model training, and production systems using Python, PyTorch, and TensorFlow.
Data Architect
Designs and builds scalable data pipelines on Databricks using PySpark/Python to optimize analytics workloads and reduce cloud costs.
Data Scientist
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven…
Data Scientist (French Speaking)
At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system. We do this by putting AI at the core of both our technology and our way of working. Our AI-driven…
Senior Data Engineer - Databricks
Build and optimize Databricks Lakehouse pipelines on AWS/Azure, set CI/CD standards, and mentor peers while integrating structured and unstructured data with Delta Lake and Unity Catalog.
Data Engineer - Data & Technology, SCD
Design and maintain scalable data pipelines and models (SQL, PySpark, Databricks) to unify IKEA’s supply-chain data for analytics and reporting across the business.
Managing Consultant - Data Science & AI (Hybrid & Learning)
Lead data-science engagements for enterprise clients, designing ML models and analytics solutions using Python, cloud platforms, and BI tools to extract business value from data.
Data Architect
Designs and builds a modern Azure-based data platform, guiding ETL pipelines, Lakehouse/Data Lake solutions, and cloud-native architectures while staying hands-on with engineering teams.
Enterprise Data Architect
Leads the design of enterprise-scale data platforms, cloud solutions, and governance standards to modernize and secure the data landscape for a data-driven organization.