Overview

At Fadata, we take pride in our ability to adapt quickly to the ever-changing needs of our market and customers. This means that you, too, should be ready to embrace change as circumstances evolve. If you're excited about a fast-paced, dynamic environment where strategy is set but flexibility to grow with the market remains, then hit the apply button. We have a bold vision: to become the general standard for core software solutions in the insurance industry. Our aim is to achieve this by developing a truly cloud-native solution that can scale limitlessly—and we want you to be part of that journey. Our values—Trust, Openness, Passion, Innovation, and Care—serve as our guiding compass. They shape how we work every day, our relationships with clients, and the way we collaborate as a team.
Opportunity

We are looking for a Data Engineer to design, build, and scale our data platform as a core enabler of Fadata’s AI and Data strategy. In this role, you will be responsible for developing robust data pipelines, ensuring high-quality and accessible data,



and supporting advanced data use cases. You will work closely with Data Architects and Subject Matter Experts (SMEs) to ensure data solutions are aligned with business domains, architecture standards, and enterprise data strategy.

This position is critical in bridging operational systems (including legacy and microservices architectures) with modern data platforms, as our engineering teams are transforming core systems into cloud-native architectures.

Your responsibilities

Curate, Catalog & Understand Our Data
• Document and curate our current data assets — building a governed, trustworthy map of the estate that is usable across the company.
• Profile data by domain and version: what tables and columns exist, what is actually used, and where there is redundancy or refactor potential.
• Help classify and protect PII and sensitive data before any change is made.
• Contribute to data quality, validation, lineage, an

📌 Senior Data Engineer (Madrid)
🏢 Fadata Group
📍 Madrid