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# AI Engineer - Data & AI Organisation

- **Company:** The Company
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Cloud Computing, Computer Programming, Continuous Integration, Information Engineering, Data Transformation, DevOps, Python (Programming Language), Machine Learning, Natural Language Processing, Software Tools, Standard Sql, Software Engineering, Enterprise Data Management, Datadog, Large Language Models, Snowflake, Apache Spark, Information Technology, Machine Learning Operations, Docker
- **Published:** August 11, 2026
- **Apply:** https://www.jobleads.com/es/job/e02a3699ecaa30707d237d7b62d783aee

## About the Role

* University degree in Mathematics, Physics, Computer Science, or a related field.
 * 5+ years of experience in data science, data engineering, application design, analytics, or visualization within a global organization.
 * Experience working with Finance, HR, and/or Procurement data and core business processes.
 * Excellent programming skills in Python and SQL
 * Strong foundation in machine learning, statistics, predictive modeling, and NLP combined with practical experience developing LLM-powered applications
 * Familiarity with vector stores, reranking techniques and LLM observability tooling such as (Langfuse, LangSmith, or similar)
 * Experience in using agentic engineering tools such as Claude Code, OpenAI Codex, or OpenCode effectively and responsibly within enterprise software development workflows
 * Experience working with cloud and enterprise data platforms such as AWS, Palantir Foundry or Snowflake and frameworks like Apache Spark, polars, DuckDB or dbt for data transformation.
 * MLOps & DevOps experience, including MLflow, CI/CD and Docker
 * Continuously up-to-date with digital trends, emerging technologies, and the evolving AI landscape.
 * Excellent communication and presentation skills in English; German language skills are a plus.

## Description

using Agentic Engineering tools to multiply the delivery is a core expectation of this role. You will work closely with Product Owners, Data Engineers, and fellow Data Scientists in agile, cross-functional Product-Oriented Delivery Teams (PODs), supporting business teams in consuming AI outputs through APIs, dashboards, and embedded analytics. You will actively contribute to building internal AI literacy by sharing knowledge, mentoring peers, and piloting innovative approaches. A genuine curiosity for the latest developments in AI and data science will be essential, soyou will continuously identify opportunities to experiment, measure impact, and drive the field forward within our organization.


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