THIS VACANCY IS ONLY OPEN TO CANDIDATES CURRENTLY RESIDING IN PORTUGAL OR SPAIN
Your Mission
You'll be working on a project to enhance and advance data-models, ETL pipelines and services key to our large multinational client in the financial sector. The project follows a new agentic development framework, where AI agents handle the development lifecycle. Hands-on experience in data CI/CD, strong knowledge of system design, algorithms, data structures, and cloud infrastructure is required. You should excel in data modeling and architecture, possess analytical prowess, and demonstrate a proactive understanding of complex subject domains.
Part of your daily responsibilities will be to:

Design, implement and maintain data pipelines, using AI agents to produce the code
Develop algorithms to transform data into useful information
Analyse data to identify issues and define the logic for complex functions and scripts
Guide and validate AI-generated solutions so they follow standards, focusing on simplicity, performance, and maintainability
Own data modeling and data quality,



acting as the expert behind the AI that produces the results
Explore new data sources and integrate them into the data product(s)
Work with CI/CD processes for data, as well as data testing and monitoring
Create prototypes and documentation underlying main aspects of the work

Your Story
We value more your willingness to learn and contribute to the success of the project than your exact experience. You can count on us to support you acquiring knowledge in areas that are key to almost any financial industry going forward

You have a bachelor, master's or Ph.D. in mathematics, statistics, physics, engineering or other quantitative subjects
You have strong hands-on experience with dbt and SQL, our main data transformation stack on Databricks
You have experience with, or a strong interest in, AI-driven/agentic development, and are comfortable directing and validating AI-generated code rather than coding by

📌 Senior Data Engineer (España)
🏢 Construo
📍 España