> Markdown version of [/jobs/ext/3128534-data-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3128534-data-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & Ai Engineer - **Company:** Infoplus Technologies UK Limited - **Location:** Guadalajara, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, BigQuery, Computer Programming, Information Engineering, Data Systems, Python (Programming Language), Tokenization, Google Cloud, Data Ingestion, Large Language Models, Prompt Engineering, Looker Analytics, Data Pipelines - **Published:** September 28, 2026 - **Apply:** https://www.buscojobs.com.es/data-ai-engineer-en-guadalajara-ID-372448849 ## About the Role Qualifications - Technical Skills: - Strong expertise in Google Cloud Platform (GCP). - Proficiency in BigQuery and general Data Engineering practices. - Experience with Data Ingestion and Data Tokenization. - Strong programming skills in Python. - Hands-on experience with Apache Airflow. - GCP Certification is Mandatory - AI/ML Expertise: Proven experience with LLMs, prompt engineering, agentic workflows, and deploying AI models into production. - Preferred Skills: Experience with Looker is highly preferred but not mandatory. ## Description Role Overview We are seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team.In this role, you will be responsible for building robust data pipelines, managing data ingestion and tokenization, and leveraging cutting-edge AI technologies to drive business solutions.The ideal candidate will bridge the gap between traditional data engineering and advanced generative AI Responsibilities - Design, build, and maintain scalable data pipelines and ingestion processes.- Implement data tokenization strategies to ensure data security and compliance.- Develop and optimize workflows using Apache Airflow.- Integrate LLMs into production environments, including designing and optimizing agentic workflows.- Apply prompt engineering techniques to improve model performance and reliability.- Collaborate with cross-functional teams to deliver high-quality data solutions.Qualifications - Technical Skills: - Strong expertise in Google Cloud Platform (GCP).- Proficiency in BigQuery and general Data Engineering practices.- Experience with Data Ingestion and Data Tokenization.- Strong programming skills in Python.- Hands-on experience with Apache Airflow.- GCP Certification is Mandatory - AI/ML Expertise: Proven experience with LLMs, prompt engineering, agentic workflows, and deploying AI models into production.- Preferred Skills: Experience with Looker is highly preferred but not mandatory.