Technical administrator állások Külföldön (adatbázisszakértő)

• Build and maintain advanced financial models and client reporting tools
• Enhance forecasting models to support cash-flow planning
• Develop automation solutions using Microsoft tools (e.g., Power Platform) and other systems
• Improve data flows and integration between internal systems and external providers

• 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

Design, development and maintenance of custom data management and scientific analysis solutions, primarily based on script- and workflow-driven approaches...

• Servant leader for java development, especially for health data management platforms
• Refine technical specifications & dependencies with architects and align with connected products
• Highlight and address technical dept and focus on continuous improvement

Designing and implementing robust software solutions for optimization and quantum algorithms, integrating them into enterprise-grade systems....

• Combine curiosity, fast understanding of business processes, and strong analytical skills to identify and implement impactful Data Science solutions
• Lead end-to-end development and operationalization of Machine Learning models within a team of experienced Data Scientists and Data Engineers

Lead the modeling core with fundamental mathematical, statistical, and machine-learning methods that bring customer and market data with knowledge into an executable strategic twin...

Join the Explainable AI research group at the ZHAW Centre for Artificial Intelligence as a Research Assistant, contributing to a project aiming to explore the potential of explainable AI approaches for enhancing the operational adoption of Intrusion Detection Systems (IDS)...

• Janine Lee - Director Data - LinkedIn
• Dmytro Yurchenko - Senior Machine Learning Engineer - LinkedIn
• Vukasin Vasiljevic - Machine Learning Engineer - LinkedIn
• Marcel Schumacher - Data Product Manager - LinkedIn

• Operate, optimise, and further develop our Microsoft Fabric ecosystem (Lakehouse, Warehouse, Pipelines, Semantic Models).
• Design, build, and maintain Power BI reports and dashboards based on clearly defined business requirements.

• Lead and manage a regional team of Master Data Governance Specialists and Data Stewards
• Design, implement, and govern master data processes across EMEA, including material registration and maintenance

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

• 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

• Operation and further development of SUSHI-based harvesting platforms
• Analysis and preparation of COUNTER dataResolution of issues related to vendor-supplied data
• Design and maintenance of workflows, analysis templates, and structured datasets

• Define and develop tools for large scale data analysis using machine learning and AI for on-going insight, to drive TCO reduction.
• Plan roadmap for cloud resources adoption, based on price/performance, capacity and demand.
• Automatic classification and recommendations for optimal resource allocation.

• 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

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...

Lead the design, implementation, and configuration of scalable data models based on complex functional and technical requirements, ensuring alignment with enterprise architecture...