Data Ai Engineer

Avance Consulting; Mos; Presencial; EUR 55.000 - 85.000; Jornada completa

Descripción de la vacante

Avance Consulting is seeking a Data & AI Engineer with extensive GCP experience to design robust data pipelines and manage data ingestion and tokenization. You will leverage cutting-edge AI technologies to drive business solutions and bridge traditional data engineering with generative AI implementations.

The role includes implementing Airflow workflows, integrating LLMs into production, and applying prompt engineering to enhance model performance.

Formación

• Proficient in Google Cloud Platform (GCP) and BigQuery.
• Strong Python programming skills and data engineering best practices.
• Hands-on experience with data ingestion and data tokenization.
• Experience with Apache Airflow for workflow orchestration.
• Experience deploying AI models and integrating LLMs into production.
• Looker experience is 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

Airflow

Ingestion

Tokenization

LLMs

Prompt engineering

Herramientas

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 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.