IT Partner

Data engineer for AI agents

In short

This role designs conceptual, logical and physical data models and analytics layers that will support new corporate applications and AI agents on AWS Cloud, within a Data team at a strategic, evolving data environment. It's posted by IT Partner España for a hybrid position in Barcelona. The job demands strong Data Modeling, Snowflake and AWS Cloud experience, SQL proficiency, DWH/Lakehouse knowledge, and practical exposure to GenAI, LLMs, RAG or agent-based AI solutions.

About the Role
At IT Partner España, we are looking for a Data Engineer / Data Modeler to join a strategic project within the Data area, working on the definition of data models and analytics models that will support new corporate applications and Artificial Intelligence agents on AWS Cloud. You will be part of a Data team working on the evolution of internal applications and the development of reusable, scalable data solutions, with a strong focus on Data & AI initiatives.
Responsibilities
•Design conceptual, logical and physical data models.
•Define analytics models and consumption layers for different use cases.
•Design reusable data structures and semantic models.
•Translate functional needs into efficient and scalable data solutions.
•Define metrics and analytical data models.
•Ensure the quality, consistency and accessibility of information.
•Work alongside technical and multidisciplinary teams.
•Define specifications for ETL processes that will subsequently be implemented by other teams.
•Contribute to Data Modeling and Data Governance best practices.
•Participate in initiatives related to Analytics, Data, AI and GenAI.
•Design data models and structures that enable applications and AI agents to access, interpret and use information efficiently.
Requirements
•Experience as a Data Engineer, Data Modeler, Analytics Engineer or similar.
•Strong experience in conceptual, logical and physical Data Modeling.
•Experience designing data analytics models.
•Experience with Snowflake.
•Experience with AWS Cloud.
•Proficiency in SQL.
•Experience with Data Warehouse (DWH) and/or Lakehouse architectures.
•Ability to transform business/functional needs into reusable data solutions.
•Ability to communicate with different teams and stakeholders.
•Autonomy, technical judgement and the ability to work in multidisciplinary environments.
•Practical experience in Artificial Intelligence, especially in one of the following areas: GenAI, LLMs, RAG, agents, fine-tuning or deploying models in production.
•Interest and ability to work on solutions where AI is not just an assistant, but a component capable of executing tasks and processes.
Conditions
•Strategic, long-term project.
•Data environment undergoing significant evolution.
•Work on Analytics, Data Engineering, AI and GenAI initiatives.
•Participation in designing models that will support new corporate applications and AI-based solutions.
•Opportunity to work with LLMs, agents, RAG and other AI architectures.
•Technical and multidisciplinary team.
•Flexible hybrid working arrangement.
•Central offices in Barcelona.

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