Ai Data Science Engineer

Infoplus Technologies Uk Limited; Málaga; Presencial; EUR 45.000 - 65.000; Jornada completa

Descripción de la vacante

Infoplus Technologies Uk Limited is seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team. You will design robust data pipelines, handle data ingestion and tokenization, and leverage cutting-edge AI technologies to drive business solutions.

This role bridges traditional data engineering with generative AI for production-ready workflows. The ideal candidate will demonstrate strong Python skills, hands-on Airflow experience, and a proven track record deploying

Formación

• GCP expertise is essential.
• Strong BigQuery and data engineering practices.
• Experience with data ingestion and data tokenization.
• Proficiency in Python.
• Hands-on Apache Airflow experience.
• GCP certification mandatory.

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

Python programming

LLMs / AI concepts

Prompt engineering

Data engineering practices

Educación

GCP Certification

Herramientas

GCP

BigQuery

Airflow

Looker

Descripción del empleo

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.