Data engineer állás, munka

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

• 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

• 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

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

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...

Engage in requirements discovery and strategic consulting sessions with clients to understand their needs and provide tailored solutions, including guidance on topics like data migration, 3rd party integrations, business scaling, hardware management, and front-end development....

• 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.

We are shaping the future of domain-specific AI systems at the BMW Group by designing, training and operating new foundation models. Our team sets standards for the safe and scalable AI in engineering and production. WHAT AWAITS YOU? * You will architect cloud and hardware solutions to scale AI...

ensure the development and evolution of our Microsoft Azure big data platform to further strengthen any customer interaction worldwide...

• Leading the delivery of successful, business- and customer-focused data analytics solutions
• Applying high-quality and cutting-edge analytical approaches to solve complex problems and drive smart decision-making processes
• Continuously optimizing the data analytics framework

• Build Fullstack Features: Implement user-facing features using modern frameworks and connect them to backend APIs.
• Backend Development: Contribute to Python-based backend services (Django REST or FastAPI), including API endpoints and business logic.

NICE TO MEET YOU!    We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence – and questions into answers.     WHAT YOU'LL DO   Looking for that internship? The game-changing one that'll help you learn, grow, and...

• Architect and implement a robust test data management strategy across environments
• Develop and maintain test environment management frameworks to streamline testing workflows
• Design and integrate automated test data pipelines into existing CI/CD and DevOps processes

Support our development engineers in supervising inertial sensors during ramp-up and series production and contribute to continuous improvement through data evaluation, advanced analytics, statistics and failure analysis using Python-based toolchains...

• 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

• 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, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....