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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.
Senior Data Solutions Engineer Einzelleben (m/w/d) 80 - 100%
Build and maintain scalable data pipelines and curated datasets for Zurich’s life-insurance business using Microsoft Azure/Fabric, Python, PySpark, and SQL to power analytics and customer insights.
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 - Analytics Platform
Build and operate a modern cloud data platform for a telemedicine company, using Azure Databricks, dbt, and Power BI to transform healthcare data into scalable analytics and AI-powered insights.
Data Engineer
Design and build scalable data platforms for clients, including ETL/ELT pipelines, cloud migrations, and analytics models using SQL, Python, and cloud tools like Azure/AWS.
Senior Full Stack Developer (m/w/d) 50-100%
Senior Full Stack Developer building and maintaining cloud-based access control SaaS (KleverKey, DCS EntryGo) using C#, .NET Core, Vue.js, and Azure.
Full Stack Software Developer 80-100% (f/m/x)
Build and maintain a large Swiss real-estate marketplace using Next.js, React/TypeScript, .NET Core, Azure, SQL Server, Cosmos DB, and Elasticsearch.
Databricks Data Engineer – Datenplattformen & Kundenprojekte (m/w/d)
Build and optimize scalable data platforms and ELT pipelines using Databricks, PySpark, and Delta Lake, while consulting with Swiss clients to translate their needs into robust data solutions.
Full Stack Software Developer 80-100% (f/m/x)
Build and maintain a large Swiss real-estate marketplace using Next.js, .NET Core, React/TypeScript, Azure, SQL Server, Cosmos DB, and Elasticsearch.
Senior/Founder DevOps Engineer
Build and secure blockchain infrastructure for a new staking startup, automating deployments with Ansible, Terraform, and Kubernetes while hardening Linux servers and optimizing performance.
Data & AI Engineer Confirmé
Build robust data pipelines and AI solutions for Swiss clients, from ETL to GenAI prototypes, using Python, SQL, and Azure/Microsoft Fabric, while driving adoption with Power BI dashboards.
Senior Python Engineer, Geospatial Data Platform (Fully Remote)
Build and operate geospatial analytics backend services in Python, integrating Neo4j and Databricks to process maritime data and deliver production-grade APIs and microservices.
Data Pre-Sales Solution Engineer
Pre-sales role leading technical discovery, demos, and POCs for a data lineage and migration platform serving regulated industries like finance, healthcare, and government.
Platform Engineer, Data Services & Cloud DBaaS
Build and own cloud-native data services like DBaaS, Docker Registry, and secret management on Kubernetes, shaping a sovereign European cloud platform for climate and space research.
Data & AI Engineer with MS Fabric or Databricks - Junior/Mid/Senior
Build and maintain end-to-end data pipelines and analytical models using Databricks, Microsoft Fabric, Python, SQL and Spark to deliver AI-driven insights for enterprise clients.
Mid Software Engineer-Data Services
Build core cloud data services (DBaaS, Docker Registry, secret management) on Kubernetes, owning the full stack from APIs to production reliability for a European sovereign cloud platform.
Senior Azure Data & AI Engineer/ Architect
Design and build cloud-native Azure data pipelines and AI integrations for a global enterprise, using Data Factory, Python, and Azure AI Search to power a multi-model AI engine.
Data Solutions Engineer (rola projektowa)
Build and maintain cloud-based data pipelines in Azure using Databricks, PySpark, and Python, collaborating on end-to-end data solutions for enterprise clients.