Data AI Engineer

Avance Consulting; España; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Avance Consulting is seeking a highly skilled Data & AI Engineer with strong GCP experience to design robust data pipelines, manage ingestion and tokenization, and apply cutting-edge AI solutions to business challenges.

You will bridge traditional data engineering with generative AI, build scalable workflows using Airflow, integrate LLMs into production, and collaborate across teams to deliver reliable data products.

Qualifications

• Strong GCP expertise and BigQuery experience.
• Proficiency in Python and data engineering practices.
• Experience with data ingestion, tokenization, and Airflow.

Responsibilities

• Design, build, and maintain scalable data pipelines and ingestion processes.
• Implement data tokenization for security and compliance.
• Develop and optimize workflows using Apache Airflow.
• Integrate LLMs into production environments with agentic workflows.
• Apply prompt engineering to improve model performance.
• Collaborate with cross-functional teams to deliver data solutions.

Skills

GCP

BigQuery

Data ingestion

Data tokenization

Python

Airflow

LLMs

Prompt engineering

Agentic workflows

Model deployment

Looker

Tools

Looker

Airflow

Job description

• 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 implementation.

Key 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.

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.