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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer For Ai Applications - **Company:** Enfint - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Information Engineering, Data Structures, Data Systems, Data Warehousing, Database Queries, Snowflake, Data Strategy, Information Technology - **Published:** August 14, 2026 - **Apply:** https://www.buscojobs.com.es/data-engineer-for-ai-applications-en-barcelona-ID-367127976 ## About the Role Demonstrable experience as a Data Engineer, Data Modeler, or in similar positions; Strong experience in conceptual, logical, and physical data modeling; Knowledge and experience in designing data exploitation models; Strong SQL skills; Experience with Data Warehouse and/or Lakehouse architectures; Ability to understand business needs and transform them into reusable data solutions while collaborating with multidisciplinary technical and functional teams; Ability to work autonomously, apply technical judgment, and communicate with different stakeholders; Nice to have: Snowflake experience, AWS Cloud experience, knowledge of data ecosystems designed for application-based artificial intelligence consumption. ## Description ????????Logicalis Spain provides IT services and consulting. Its Data & AI team delivers data engineering, artificial intelligence, advanced analytics, data strategy, governance, integration, and architecture projects across the full data lifecycle for national and international clients.??????Define and design data models for new corporate applications and AI agents; Design exploitation models and consumption layers for different business use cases; Contribute to defining reusable data structures and semantic models; Translate functional business requirements into efficient and scalable data modeling solutions; Ensure data quality, consistency, and accessibility for applications and analytical processes; Collaborate with technical and business teams to ensure correct interpretation and use of information; Contribute to defining data modeling and data governance best practices within projects; Participate in initiatives to evolve the data platform and associated exploitation models.??????????Demonstrable experience as a Data Engineer, Data Modeler, or in similar positions; Strong experience in conceptual, logical, and physical data modeling; Knowledge and experience in designing data exploitation models; Strong SQL skills; Experience with Data Warehouse and/or Lakehouse architectures; Ability to understand business needs and transform them into reusable data solutions while collaborating with multidisciplinary technical and functional teams; Ability to work autonomously, apply technical judgment, and communicate with different stakeholders; Nice to have: Snowflake experience, AWS Cloud experience, knowledge of data ecosystems designed for application-based artificial intelligence consumption.???????Immediate start; Permanent contract with professional development and career growth opportunities; Competitive compensation package based on the candidate's value; Flexible compensation plans, including restaurant, transport, and childcare cards; Medical insurance and GYMPASS; Training plans tailored to each profile, including technical courses, official certifications, and language training; Employee discount portal; Collaborative work environment.#J-*****-Ljbffr ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)