Data & Ai Engineer

Infoplus Technologies Uk Limited; Tarragona; Presencial; EUR 55.000 - 85.000; Jornada completa

Descripción de la vacante

Infoplus Technologies Uk Limited is seeking a Data & AI Engineer with extensive GCP experience to design and build robust data pipelines, handle data ingestion and tokenization, and drive business solutions through AI technologies.

The role bridges traditional data engineering and generative AI, with responsibilities including Airflow workflows, LLM integration, and prompt engineering to enhance model performance. Strong Python skills and GCP certification are required.

Formación

• GCP certification is mandatory and highly valued.
• Strong Python and Airflow experience is required.
• Experience with data ingestion and tokenization is essential.
• Hands-on experience deploying AI models into production.

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

Python

Airflow

Data Ingestion

Data Tokenization

LLMs

Prompt Engineering

Agentic Workflows

AI Deployment

Looker

Herramientas

Looker

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.