Data & Ai Engineer - Infoplus Technologies Uk Limited

Infoplus Technologies Uk Limited; Córdoba; Presencial; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Infoplus Technologies Uk Limited seeks a highly skilled Data & AI Engineer with extensive GCP experience to build robust data pipelines, manage ingestion and tokenization, and leverage AI technologies to drive business solutions. You will bridge traditional data engineering with generative AI, delivering scalable data solutions across teams.

Responsibilities include designing data flows, tokenization strategies, and production-grade AI deployments, with a focus on prompt engineering and Looker

Formación

• 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.
• Looker experience is highly preferred but not 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

GCP

BigQuery

Python

Data ingestion

Data tokenization

LLMs / Prompt engineering

Agentic workflows

AI/ML production deployment

Herramientas

Looker

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