2 days ago
Madrid, SpainMid Level
Responsibilities
- Design and scale Retrieval-Augmented Generation pipelines that transform unstructured IT logs and documentation into optimized vector embeddings.
- Maintain the health and performance of vector databases including Pinecone, Milvus, and Weaviate.
- Build knowledge graphs and semantic layers that provide contextual information for AI agents.
- Create automated data guardrails to detect noise, bias, and personally identifiable information before data reaches models.
- Identify and resolve data-quality issues at their source across complex enterprise environments.
- Build, deploy, and maintain CI/CD pipelines for data infrastructure.
- Translate business needs into technical requirements and communicate with technical and non-technical colleagues.
Requirements
- Expertise in data mining, data storage, and Extract-Transform-Load processes.
- Experience developing data pipelines and using tooling such as Glue, Databricks, Synapse, or Dataproc.
- Experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB.
- Strong problem-solving, analytical, and critical-thinking skills.
- Ability to manage multiple projects while maintaining attention to detail.
- Preferred experience as a Data Engineer or in cloud modernization.
- Preferred experience with data modeling and creating conceptual models of data relationships and business-process usage.
- Professional or cloud platform certifications are preferred, including relevant data engineering certifications.
- Preferred familiarity with 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 is preferred.
Benefits
- Hybrid-friendly work culture with support for employee financial, mental, physical, and social well-being.
- Career development support including personalized development goals, continuous feedback, coaching, hands-on experiences, and learning opportunities.
- Access to certification opportunities involving Microsoft, Google, and Amazon.
- Inclusive, supportive culture focused on belonging, empathy, continuous learning, and shared success.
Tech Stack
Categories
Data Engineering
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.