Partially Remote Granada, Spain Full time At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. Your roleAs an AI Data Engineer at Kyndryl, you'll be the architect behind the high-performance data infrastructure that powers our autonomous systems.

Architect for RAG: You'll design and scale the pipelines for Retrieval-Augmented Generation (RAG), transforming massive volumes of unstructured IT logs and documentation into optimized Vector Embeddings. You will be responsible for the health and performance of our vector databases (e.Master Data Transformation Move beyond simple ETL to build knowledge graphs and semantic layers that provide agents with the necessary context to navigate complex infrastructure puzzles.

Automate data excellence: Using a keen eye for detail, you'll build automated data guardrails to detect noise, bias, or PII (Personally Identifiable Information) before it reaches the model, ensuring our AI remains safe and impactful. Serve as the bridge between raw, messy data sources and deep technical AI work, identifying and resolving quality issues at the source. With a well-defined methodology and software engineering prowess, you will build, deploy, and maintain the CI/CD pipelines for our data infrastructure, ensuring that our context window remains fresh and reliable.

Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes Experience in data pipelines development and tooling, e.Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB Ability to manage multiple projects simultaneously,



while maintaining a high level of attention to detail Experience working as a Data Engineer and/or in cloud modernization Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes Open Certified Technical Specialist with Data Engineering Specialization Cloud platform certification, e.AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate Understanding of social coding and Integrated Development Environments, e.GitHub and Visual Studio Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology Your career with us isn't just a job—it's an adventure with purpose.

We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow.

Our Be

Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. You won't just contribute—you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting‐edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands‐on experiences.

And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics.

📌 Senior Engineer, Data Engineering (Andalucía)
🏢 Kyndryl
📍 Andalucía