Data & Ai Engineer

Infoplus Technologies Uk Limited; Barcelona; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Infoplus Technologies UK Limited in Barcelona seeks a Data & AI Engineer with strong GCP experience to design robust data pipelines and tokenization workflows. You will bridge traditional data engineering with advanced generative AI and deploy LLM-powered solutions.

Join a team that builds scalable data platforms, optimizes Airflow-based workflows, and collaborates across departments to deliver secure, high-impact data solutions in production.

Formación

• Proven experience in building data pipelines and tokenization.
• Strong GCP and BigQuery capabilities required.
• Experience deploying AI/ML models in production.
• GCP Certification is Mandatory.
• Looker experience is a plus.

Responsabilidades

• 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.

Conocimientos

GCP

BigQuery

Data Ingestion

Data Tokenization

Python

Apache Airflow

LLMs

Prompt Engineering

Agentic Workflows

Looker

Herramientas

Looker

Airflow

Descripción del empleo

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. xqziphu


• Preferred Skills: Experience with Looker is highly preferred but not mandatory.