Data Engineer

Experteer Overview Siga leyendo para descubrir lo que necesitará para tener éxito en este puesto, incluyendo habilidades, cualificaciones y experiencia.As an AI Data Engineer at Kyndryl, you will architect high-performance data infrastructure powering autonomous systems.You design scalable RAG pipelines and manage real-time vector embeddings to enable agentic AI reasoning in complex environments.You will build semantic layers and automated data guardrails to keep AI safe, and lead production-grade CI/CD for data infra.This role sits at the intersection of data engineering and AI, offering impact across enterprise-scale challenges.Join a culture focused on belonging, growth, and transformative technology that shapes what comes next.Compensaciones / Beneficios* Architect for RAG: design and scale pipelines for Retrieval-Augmented Generation converting unstructured logs and docs into vector embeddings* Scale vector infrastructure: ensure sub-second retrieval in vector databases (Pinecone, Milvus, Weaviate)* Engineer semantic layers: build knowledge graphs and semantic layers to contextualize data for agents* Automate data guardrails: detect noise, bias, or PII before models see data* Bridge raw data to AI work and production: develop CI/CD pipelines for data infrastructure to keep context windows fresh and reliableResponsabilidades* Data mining, data storage and ETL (Extract-Transform-Load)* Data pipelines tooling (Glue, Databricks, Synapse, Dataproc)* Relational and NoSQL databases (PostgreSQL, DB2, MongoDB)* Strong problem-solving, xqbhyrx analytical and critical thinking* Multitasking with high attention to detail* Effective communication with technical and non-technical stakeholders* Location: Spain; fluent in SpanishRequisitos principales* hybrid-friendly culture* Be Well programs* learning and certification opportunities (Microsoft, Google, Amazon)* coaching and hands-on experiences* career path tooling and continuous feedback* empowerment to grow and make an impact

Join a culture focused on belonging, growth, and transformative technology that shapes what comes next.Compensaciones / Beneficios* Architect for RAG: design and scale pipelines for Retrieval-Augmented Generation converting unstructured logs and docs into vector embeddings* Scale vector infrastructure: ensure sub-second retrieval in vector databases (Pinecone, Milvus, Weaviate)* Engineer semantic layers: build knowledge graphs and semantic layers to contextualize data for agents* Automate data guardrails: detect noise, bias, or PII before models see data* Bridge raw data to AI work and production: develop CI/CD pipelines for data infrastructure to keep context windows fresh and reliableResponsabilidades* Data mining, data storage and ETL (Extract-Transform-Load)* Data pipelines tooling (Glue, Databricks, Synapse, Dataproc)* Relational and NoSQL databases (PostgreSQL, DB2, MongoDB)* Strong problem-solving, xqbhyrx analytical and critical thinking* Multitasking with high attention to detail* Effective communication with technical and non-technical stakeholders* Location: Spain; fluent in SpanishRequisitos principales* hybrid-friendly culture* Be Well programs* learning and certification opportunities (Microsoft, Google, Amazon)* coaching and hands-on experiences* career path tooling and continuous feedback* empowerment to grow and make an impact

We have the world’s best talent that design, run, and manage the most advanced and reliable technology infrastructure each day. Together, we think holistically about the health of these vital technology ecosystems.

We will be a focused, independent company that builds on our foundation of excellence by creating systems in new ways. Bringing in the right partners, investing in our business, and working side-by-side with our customers to unlock potential. We're raising the bar.