Accenture, recognized as **Great Place To Work®**, is a global leader in professional services that helps leading enterprises, public administrations, and other organizations worldwide develop their digital core, optimize operations, accelerate revenue growth, and improve citizen services—creating tangible value at speed and scale. We are seeking Data Engineer profiles through an intensive 5-week program combining hands-on training and final project development, followed by placement into large-scale projects within Accenture, enabling autonomous integration into technical teams from day one. The position is based in **Barcelona**, following a hybrid work model: some days working remotely from home and others onsite at the office, where you can build meaningful synergies with your team. Residency in Spain and valid work authorization in Spain are mandatory. **Responsibilities** * Develop and maintain data pipelines to integrate information from diverse sources. * Prepare, transform, and organize structured and unstructured data for consumption by AI applications. * Develop ETL/ELT processes to automate data loading and transformation. * Design and implement data pipelines on AWS (S3, Glue, Aurora PostgreSQL, Neptune) to integrate structured and unstructured data sources. * Implement graph queries (SPARQL, Cypher, or Gremlin) and combine them with SQL and vector search. * Build RAG, semantic search, and metadata enrichment solutions for LLM use cases. * Collaborate with AI, analytics, and development teams to create scalable and efficient solutions. * Manage metadata and document processes to ensure data traceability. * Participate in initiatives related to semantic search, generative AI, and intelligent assistants. **Key Accountabilities**: * Design knowledge-oriented, end\-to\-end data architectures for AI\-driven systems. * Integrate multiple enterprise repositories (S3, SharePoint, FileNet), ensuring semantic consistency. * Define hybrid query strategies (relational, graph, vectorial) based on use case requirements. * Ensure data quality, traceability (data lineage), and compliance with data governance standards. **Requirements**: * University degree in Engineering, Computer Science, Mathematics, Physics, or equivalent. * Professional experience in Data Engineering, Software Engineering, or AI Engineering in production environments. * Advanced proficiency in Python and SQL as primary working tools. * Experience with AWS services (S3, Glue, Aurora PostgreSQL, Neptune, Bedrock). * Experience with graph databases and query languages (SPARQL, Cypher, or Gremlin). * English level B2/C1. **Preferred Qualifications**: * Experience with frameworks such as LangChain, LlamaIndex, or similar. * Knowledge of Kubernetes, Terraform, or DevOps practices. * Experience with Docker, Git, and CI/CD. * Experience with data lineage, data quality, and data governance tools. Knowledge and experience in generative AI and AI tools applied to this role are required, aligned with Accenture’s commitment to responsible and effective AI adoption. At Accenture—a company recognized as **Great Place To Work®**—we champion a hybrid work model that, powered by technology and our facilities, enables essential human connection when collaborating with teams and clients. This connection sustains our inclusive and diverse culture—and makes us, according to Refinitiv, the world’s most diverse company. Additionally, we offer other benefits such as: * Health, life, and accident insurance * Medical services and wellness programs * Flexible compensation plan and stock purchase program * Flexibility programs (flexible hours, floating holidays, vacation time, etc.) * Personalized learning and development path * Sustainability initiatives and Accenture Foundation programs * Employee networks focused on diversity * Other benefits: Bankinter Office with special conditions and profit-sharing
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
