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Senior Data Engineer – IA, IoT Industrial & Data Pipelines
Senior Data Engineer builds and maintains industrial IoT data pipelines, integrates data sources, and deploys ML models using Microsoft Fabric for AI-driven industrial solutions.
Senior Full Stack Data & Analytics Developer – Azure Synapse / Microsoft Fabric / Power BI
Build end-to-end reporting solutions for Dynamics 365 using Azure Synapse, Microsoft Fabric, and Power BI, focusing on HR, finance, logistics, and project management dashboards.
DevOps Engineer, Azure, French Speaker
Design and maintain Azure-based cloud infrastructure, CI/CD pipelines, and DevOps standards while mentoring engineers and ensuring system reliability and security.
Azure Data Engineer & Python Developer
Build and maintain cloud-native data pipelines and serverless Python functions on Microsoft Azure, integrating corporate systems and transforming data with Azure Databricks.
Azure Python Developer: APIs, Data & Cloud
Build Python APIs and business logic, integrate cloud services, and maintain Azure-based solutions using Azure Functions, SQL Database, Data Factory, and Databricks.
PYTHON DEVELOPER
Build and maintain Python-based APIs, Azure Functions, and data pipelines for enterprise solutions using Azure SQL, Databricks, and Data Factory.
Senior Data Engineer til samfunnsviktige og kommersielle oppdrag
Build and maintain modern data platforms (lakehouse, data warehouse) and ETL/ELT pipelines in cloud and on-prem, integrating structured and unstructured sources to enable analytics and AI solutions.
Data Science / ML Engineer
Build and deploy ML models and MLOps pipelines using Python, TensorFlow/PyTorch, and cloud platforms like Azure Databricks for real-time, event-driven data solutions across industries.
Data Engineer
Data Engineer builds and maintains cloud-based data pipelines and ETL/ELT workflows for production systems, collaborating with data scientists and architects to deliver scalable, high-quality solutions.
Data Science / ML Engineer
Build and deploy ML models and MLOps pipelines for public-sector clients using Python, TensorFlow/PyTorch, Kafka, and Databricks.
Senior Data Engineer
Design and build modern data platforms and ETL/ELT pipelines using Python, SQL, and tools like Databricks or Snowflake to deliver robust data solutions for customers.
Senior Data Engineer
Design and build modern data platforms and AI-driven pipelines using Python, PySpark, and tools like Databricks or Snowflake to deliver analytics and automation solutions for customers.
Data Engineer, Microsoft Fabric | Hybrid & Flexible Hours
Builds and maintains the company’s Microsoft Fabric-based analytics platform using PySpark, SQL, and Power BI to support BI & Data team initiatives.
Data Engineer - Microsoft Fabric (w/m) 80 - 100% / DE
Build and maintain a modern data platform using Microsoft Fabric, designing ETL/ELT pipelines, ensuring data quality, and optimizing Lakehouses and SQL Analytics for a healthcare distributor.
Data Engineer - Power BI, Microsoft Fabric, PySpark
Designs and maintains data models and ETL pipelines for an insurance client, building Power BI dashboards and optimizing Microsoft Fabric solutions.
Data Engineer (w/m/d) 80%-100%Galenica AG
Build and maintain a new Azure-based data platform for logistics, modeling data for analytics and science, and integrating sources with Python, Spark, and SQL.
Data & AI Engineer Confirmé·e (5 à 8 ans)
Build robust data pipelines and AI solutions for Swiss clients, from ETL to GenAI prototypes, using Python, SQL, Azure, and Power BI to drive operational decisions.
Data & AI Engineer Confirmé·e (5 à 8 ans)
Build robust data pipelines and ML/GenAI solutions for Swiss clients, from ETL to dashboards and predictive models, using Python, SQL, Azure, and Power BI.
Fabric Data Engineer - Azure, Pipelines & Data Vault
Builds scalable data pipelines and architectures using Microsoft Fabric and Azure Data Services, transforming data with Python and modeling with Data Vault/3NF.
Data Engineer Microsoft Fabric
Design and build Microsoft Fabric data architectures for clients, including pipelines, Lakehouse/Warehouse models, and Power BI semantic layers, while coaching teams on best practices.