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Data Scientist/ML Engineer dans l'équipe Science des données économiques Détails du poste | Sch[...]
Builds and maintains ML/NLP pipelines and big-data tools to support economic forecasting and monetary-policy decisions in a hybrid role at Switzerland’s central bank.
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.
(Sr) Data Engineer Retail Media, Measure & Forecast
Builds scalable data pipelines and lakehouse systems to turn noisy edge sensor data into reliable measurement and forecasting for in-store Retail Media, using Spark, Kafka, Trino, and privacy-preserving architectures.
Databricks Data Engineer – Datenplattformen & Kundenprojekte (m/w/d)
Build and optimize Databricks-based data platforms and ELT pipelines for Swiss clients, using PySpark, Delta Lake, and CI/CD, while advising on scalable data architecture.
Senior Data Platform Engineer
Build and maintain Proton’s on-premise data pipelines and platform, enabling reliable, scalable analytics and reporting for privacy-focused products used by millions globally.
Data Scientist/ML Engineer im Team Economic Data Science
Build and maintain ML/NLP pipelines and big-data systems to support economic forecasting and policy analysis for Switzerland’s central bank.
System Engineer – Data Science (m/w/d)
Design and build scalable AI/data-science architectures (LLMs, RAG, ML) in cloud and on-prem, then advise customers and implement solutions in Python, Azure ML, and Kubernetes.
DevOps Engineer Kubernetes & Managed Services
You design, build, and run a Kubernetes-based managed-services platform for Swisscom’s B2B customers, automating deployments with GitOps and CNCF tools to keep MongoDB, PostgreSQL, and Kafka services highly available.
Software Engineer (Java/Spring Boot) auf dem Weg zum Data / AI Engineer
Build Java/Spring Boot backends and transition into data/AI engineering, designing data pipelines, AI workflows, and cloud-native systems for clients in banking, government, retail, and transportation.
Data Architect / Data Engineer (f/m/d)
Designs and builds the company’s enterprise data platform using Azure Databricks, Spark, and Python to integrate and model medical/pharma data for analytics and future AI projects.
Data Engineer – Data & AI (F/H)
Design and build scalable data pipelines and platforms (Lakehouse, Data Warehouse) to feed ML models and generative-AI applications, using Python, Spark, Snowflake/Databricks, and cloud stacks (AWS/GCP/Azure).
Data Engineer – IA & Data Platform, Cloud & MLOps
Build and maintain robust data platforms and AI pipelines using Python, Spark, and cloud tools for strategic data projects.
Cloud Data Engineer: Build Scalable Data Pipelines
Build and maintain cloud-based data pipelines for financial trading systems, integrating large volumes of order data across multiple platforms using Spark, Python, and AWS tools.
Cloud Data Engineer
Build and maintain cloud-based data pipelines for financial trading systems, integrating large volumes of order data across multiple systems using Spark, Python, and AWS tools.
Cloud Data Engineer (f/m/d)
Build and maintain cloud data pipelines for a Geneva-based bank, integrating trading-order data across systems using Python, Spark, and AWS services.
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.
Senior Data Engineer, Privacy-Preserving Pipelines (Remote)
Owns end-to-end data pipelines in Python (pandas) and Spark, deployed in Databricks or confidential enclaves, to enable privacy-preserving ML for AdTech.
Junior Data Engineer (a)
Build and maintain data ingestion pipelines in Databricks for a MedTech company, cleaning and structuring clinical data for downstream teams.
Junior Data Engineer (m/f/d)
Build and scale Databricks-based data pipelines that ingest, clean, and validate clinical and operational data for ML and healthcare analytics in a med-tech startup.
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.