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Kyndryl

Managed IT infrastructure and cloud services

AI Data Engineer

Data EngineeringPosted on Nov 9
Full-timeMadrid, SpainNo salary listed

About the Job

Requirements

  • Expertise in data mining, data storage, and extract-transform-load (ETL) processes.
  • Experience developing data pipelines and using associated tooling such as AWS Glue, Databricks, Azure Synapse, or Google Cloud Dataproc.
  • Experience with relational and NoSQL databases, including PostgreSQL, IBM Db2, and MongoDB.
  • Ability to manage multiple projects simultaneously while maintaining attention to detail.
  • Ability to communicate with technical and non-technical colleagues and translate business needs into technical requirements.

Responsibilities

  • Architect and scale Retrieval-Augmented Generation (RAG) pipelines, transforming unstructured IT logs and documentation into optimized vector embeddings.
  • Maintain vector databases such as Pinecone, Milvus, or Weaviate, ensuring sub-second retrieval speeds for agentic reasoning loops.
  • Build knowledge graphs and semantic layers that give agents context for navigating complex infrastructure.
  • Build automated data guardrails to detect noise, bias, or personally identifiable information before data reaches the model.
  • Identify and resolve data-quality issues at their source, bridging raw data sources with technical AI work.
  • Build, deploy, and maintain continuous integration and continuous delivery (CI/CD) pipelines for data infrastructure so that context remains fresh and reliable.

Desired Qualifications

  • Experience working as a Data Engineer and/or in cloud modernization.
  • Experience in data modelling to create conceptual models of data relationships and business-process use.
  • Professional certification, such as Open Certified Technical Specialist with Data Engineering Specialization.
  • Cloud platform certification, such as 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, such as GitHub and Visual Studio.
  • A degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

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