Data engineer f m d állás, munka

• Support the Enterprise Analytics team in developing advanced AI and analytics solutions.
• Analyze existing processes and propose automation strategies to improve efficiency.
• Contribute to codebase development with a fresh, innovative perspective.

• Üzleti igények megértése, adatok feltérképezése és elemzése;
• Adatmodellek kialakítása és strukturált dashboardok fejlesztése Power BI alapon
• Adatfolyamatok automatizálása, tisztítása, optimalizálása;
• Felsővezetői riportok és KPI-ok kialakítása;

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

To deliver high-quality, user-focused frontend experiences, you build complex UI features in React & Next.js, develop component-based UI systems and optimize UX together with our Product Managers and Designers....

• Design, implement, and maintain high-performance, scalable backend services that power our platform.
• Work on resilient distributed systems using Kafka for event-driven workflows and Redis for real-time, fast data access and caching.

• 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.

As Lead Engineer (f/m/d)* Backend, you will take over the strategic, technical and disciplinary responsibility for one engineering team on our Agent Platform....

• Develop and maintain front-end interfaces with React (or Vue) for intuitive user experiences.
• Implement robust backend services and APIs using Node.js, TypeScript, and Python.
• Design, implement, and optimize database schemas across relational and non-relational systems.

Design and develop scalable data architectures for integrating our tailored and standard software solutions into our clients' environments, collaborating with professional services, software engineering and cloud operations....

• Design and lead development of AI products for business-specific use cases.
• Mentor and guide the software engineering team, setting clear technical directions and providing architectural oversight.

• Design, configure, and optimize interactions with LLMs through retrieval-augmented generation (RAG), and orchestration.
• Implement tool-calling patterns to integrate LLMs with SaaS tools and APIs.
• Leverage fine-tuning or parameter-efficient techniques for performance enhancement.

• You support the development and implementation of BI solutions.
• You conduct data analyses to identify trends.
• By presenting complex data clearly and understandably, you assist us in creating reports.
• You assist in designing and optimizing data architectures.

• Orchestration, deployment and administration of the open source software services developed at OSL.
• Design, development and implementation of data workflows within the above-mentioned software tools.
• Design, development and maintenance of software extensions within the above-mentioned software tools.

• Maintaining existing as well as creating new Linux applications on the unmanned aircraft.
• Designing and coordinating interfaces between teams, documenting the architecture and design decisions.

• Partner with stakeholders to identify, design and evaluate AI solutions by translating complex business challenges into practical ML and GenAI use cases
• Lead data-driven projects, from requirements analysis to implementation, with a strong focus on business impact