Expert állások, munkák adatbázisszakértő kategóriában

• Development and maintenance of bioinformatics workflows for NGS data analysis
• Exploratory data analysis of large-scale genomic datasets
• Design and execution of independent research projects at the interface of data science and neuroepigenetics
• Contribution to scientific publications and presentations

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

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...

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...

• Modeling data using M-Code and DAX
• Preparing data after SQL import for further processing in Power BI
• Creating Power BI dashboards for a department
• Analyzing company data to support data-driven decision-making
• Ensuring data quality and integrity
• Developing requirements for new data

Lead or participate in scoping the engagement, designing high-level architecture, defining subtasks, and project delivery schedules Deliver projects independently or within a mixed DS/DE team setup, often as technical lead Act as client-facing interface or SPOC to customers Provide ML/DS...

• Support with the operation of the Azure-based platform (including Docker on Linux/Windows VMs) with team guidance
• Assist in building and documenting data pipelines (Azure Data Factory, Databricks catalogs)
• Help create and maintain Databricks notebooks (Python) for specialized use cases

• You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control.
• You will engineer and operate end-to-end AI systems, focusing on fine-tuning and scalable serving of modern AI models.

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. 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...

• 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

• 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

• 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

• Design and implement end‑to‑end AI pipelines for time‑series and event‑driven sensor data (e.g., pressure, temperature, current, voltage, etc.)
• Combine physical models with data‑driven approaches (hybrid / physics‑informed machine learning) to improve robustness and interpretability

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,...

Support the development of quantitative risk management tools both in terms of modelling and programming, maintained by Group Risk and the team....

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...

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...

• 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

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, 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,...