*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. 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
- Develop algorithms to transform data into useful information
- Analyse data to identify issues and create complex functions and scripts
- Work on solutions to implement following standards, using high-quality code, focusing on simplicity, performance, and maintainability
- 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 proven experience with Python Programming and PySpark
- You have a software development background with proven experience of design-patterns, object-oriented programming and unit-testing
- You have solid experience with a strongly typed programming language (e.g. Java)
- You have proven experience working with CI/CD processes for data as well as data testing and monitoring
- You have great communication skills (both verbal and written), being able to describe complex technical co

📌 Senior Data Engineer (España)
🏢 Construo
📍 España