Senior data scientist állások, munkák adatbázisszakértő kategóriában

• Build the backbone of Circonomit's technology and develop end-to-end features that deliver immediate value for our customers to map their reality into a semantic and computable model
• Build and refine high-quality, performant user interfaces with TypeScript and Solid.js

Collaborate with system architects to contribute to the design of a secure and scalable service platform architecture, considering factors such as data integrity, confidentiality, and regulatory compliance....

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

• Designing and maintaining the overall software architecture for our metrology systems
• Collaborating with Software Engineering, Hardware, and Product Management to align architecture with technical and business requirements

Deliver complex data engineering projects individually or by leading small delivery teams Work with Apache Spark/Databricks on AWS/Azure Manage customer relationships alone or with a Project Manager Mentor more junior engineers Evaluate the quality of junior engineers' work Contribute to hiring...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

(Senior) Manager –AI Data Architect (m/w/d) Zürich/Basel/GenevaOne of the fastest growing business consultancy firms in Switzerland is looking for talented candidates like you.Is business consultancy your kind of work? Do you strive to achieve excellence in a customer centric environment? Then our...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

Lead Data Science (f|m|d) | 100% | Hybrid working model | Zurich SwitzerlandCompany DescriptionWelcome to SMG Swiss Marketplace Group!SMG is a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking products.We operate...

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

Data & Application Specialist (m/w/d) 80%Data & Application Specialist (all genders) 80%SLSP AG - ZürichJoin us in shaping the future of scientific information in Switzerland!The Swiss Library Service Platform (SLSP) – headquartered in Zurich – is a service provider for libraries and collaborates...

• Central responsibility for solutions in MDM/MDG, PIM and GS1/GDSN
• Provision of required data endpoints with aggregated data from various (sub-)systems for Business Intelligence & Analytics solution in coordination with the specialist departments

• Serve as the primary technical contact for Client Services, Programmatic team, product, and engineering and technical solutions partners we work with
• Implement, monitor, and optimize programmatic ad stacks, including GAM, header bidding, and mediation platforms

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions