Data állások Külföldön egyetemi végzettséggel

• Provide legal advice and support on all aspects of the company’s activities in the Southeast market
• Monitor, interpret, and implement regulatory developments related to insurance distribution, leasing, and financial services

• Management of maintenance contracts for Operational EUMETSAT ground stations;
• Management of the team of engineers (staff and services);
• Procurement and management of ground stations upgrades and evolutions including internal coordination with stakeholders;

is responsible for delivery of best practice systems and problem resolution on all data center electrical and mechanical infrastructure (UPS, MV electrical systems, generators, cooling systems etc.) within the data center environment in a specific location. The role requires a highly driven,...

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

Responsibilities: - You will assist in the operation, and maintenance of all electrical,mechanical, and HVAC equipment within the Data Center/Facility. - You will assist in maintenance and monitoring of all Data Center systems to include incidents/events, problems, changes, monitoring, problem...

• Design and build domain-oriented data marts in Snowflake using dbt
• Develop and maintain Power BI semantic models (datasets, DAX measures, hierarchies)
• Create clear, insightful Power BI reports and dashboards aligned with business KPIs

• 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

• Definition of IT standards for the areas of network, racks, cabling, and construction requirements
• Responsibility for the implementation according to the standard
• Performing on-site control of construction sites in all relevant phases

• Support the team in designing and developing an internal dashboard to visualize real-world data from diabetes care
• Explore, define, and implement selected dashboard use cases; actively contribute to deciding which use cases provide the most value

• Foster scalable data and analytics infrastructure to support the development and deployment of GenAI solutions
• Construct and refine (Gen) AI models, prompts, and related analytical components

Engineering Projects: Lead and manage engineering projects and design changes from concept through to implementation, ensuring timelines, budgets, and quality standards are met....

Online platforms, artificial intelligence, cybersecurity, e-commerce, cross-border data flows, electronic communications and identification, data protection and postal services....

• Design, implement and maintain our development platform and cloud environments using Infrastructure as Code
• Build and maintain tools and services to enable and accelerate our development teams and improve the maintainability and operability of our infrastructure

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

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

• You technically own and evolve our international analytics platform, driving a fully automated GitOps-style Infrastructure-as-Code (IaC) setup with Terraform on Azure
• You build reusable Terraform modules and manage remote state, versioning, and promotion across environments

• Lead technical assessment with customers, analysing equipment specifications, production processes, and data availability to define integration requirements.
• Coordinate and support the integration of new and legacy industrial equipment, including retrofit projects when required.

• 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

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.