Mid-level Data Engineer

Description

Job Summary: TECH UNIVERSITY is seeking a C# Software Engineer with experience in designing and maintaining AI infrastructure, building data pipelines, and managing scalable environments for AI models. Key Highlights: 1. Design and maintain AI infrastructure. 2. Build and optimize high-performance data pipelines. 3. Collaborate on the industrialization of production models. * TECH UNIVERSITY * Las Rozas (Madrid) * * ### **Experience** 2 to 4 years of experience * ### **Salary** Compensation not specified * + ### **Area \- Position** **Technology and IT** - C# Software Engineer + ### **Category or Level** Technical Staff + - ### **Vacancies** 1 - ### **Applicants** 3 - * ### **Contract Type** Permanent Contract * ### **Working Hours** Full-time Ongoing selection process. ### **Responsibilities** Who are we? TECH is the world's largest digital university. With an impressive catalog of over 14,000 academic programs available in 11 languages, it leads in employability, boasting a 99% job placement rate. It is officially recognized in various countries across the Americas, including TECH Universidad (Mexico) and TECH Universidad FUNDEPOS (Costa Rica). It also maintains a strong presence in Africa through TECH RUCU University (Tanzania) and TECH Euromed University of Fez (Morocco), and in Europe via TECH Global University (Andorra) and TECH Universidad (Spain). Thanks to its international focus, TECH operates in over 150 countries and has been named twice by the Financial Times among Europe’s 250 fastest-growing companies in recent years. This recognition enabled TECH to become the official university of the NBA, offering exclusive programs taught by prominent executives, coaches, and former players from the world’s premier basketball league. Moreover, the prestigious Forbes magazine has honored TECH as the "best digital university in the world," highlighting its innovative Relearning methodology and implementation of Harvard’s Case Method. The quality of its digital infrastructure and high educational standards have been acknowledged by Google with Premier Google Partner status for 2026 — a distinction granted exclusively to the top 3% of the largest digital institutions globally. TECH is also regarded as the highest-rated university by its students, holding an average rating of 4.9 out of 5 based on over 25,000 public reviews across leading international platforms. What will you do with us? \- Design and maintain AI infrastructure, including data platforms and dedicated environments for model training and inference. \- Build and optimize high-performance data pipelines specifically tailored for Machine Learning use cases. \- Manage scalable environments to ensure efficient deployment of Artificial Intelligence models. \- Collaborate closely with Data Scientists and ML Engineers throughout the industrialization process of production models. \- Implement monitoring and quality assurance processes, ensuring proper versioning of both data and models. \- Automate workflows using CI/CD methodologies and MLOps practices. \- Ensure platform security and governance, upholding operational efficiency and compliance with industry standards. ### **Requirements** What are we looking for? \- Degree in Computer Engineering, Telecommunications, Mathematics, Physics, or related fields. A Master’s degree in AI, Big Data, or Cloud Computing is highly valued. \- Solid experience (2–4 years) as a Data Engineer, having designed and operated pipelines in production environments. \- Proficiency in Python programming and experience with cloud-based data architectures, preferably Azure. \- Technical knowledge of distributed systems, automation tools (Docker, Kubernetes), and observability solutions. \- Analytical and collaborative mindset, with the ability to solve complex problems and work effectively in teams alongside AI professionals. ### **We Offer** What do we offer? \- Permanent full-time employment contract. \- Competitive salary commensurate with experience. \- Working hours: Monday to Thursday: 9:00–14:00 / 15:00–18:00; Friday: 9:00–14:00 / 15:00–17:00. \- On-site work at our offices in Las Rozas, Madrid. \- Opportunity to join a rapidly expanding multinational company and build a long-term professional career. \- Employee scholarships for specialized training programs. \- Career development plan within the department. \- Positive work environment and dedicated onboarding support during your first days to ensure smooth adaptation and help you achieve your goals.