Join SIX Financial Information's AI Engineering team as the Lead Data Platform Engineer of our
Data Platform & Analytics
squad. You will own the roadmap and evolution of our
Data Science Platform
on Azure and Databricks the self-service foundation that data scientists, analysts, business analysts, and AI engineers across the organization rely on to turn complex financial data into production-ready insights.

This is a player-coach leadership role with direct line management responsibility for a small squad. You will remain close to the code, set technical direction for the platform, partner closely with the rest of the team to productionize what we build while partnering with other technical and business stakeholders.

What You Will Do
- Own the Data Science Platform Roadmap: Define and drive the technical strategy for the DSP on Azure Databricks, balancing platform stability, self-service capabilities, and the evolving needs of data scientists and AI engineers.
- Productize Analytics Solutions: Lead the productization of the advanced dashboarding and analytics data products,



turning prototypes into reliable, well-governed, scalable data products that can be reliably consumed by end users.
- Build Self-Service Foundations: Design and operate the lakehouse architecture, data pipelines and curated models, and governance patterns (Unity Catalog, dbt, access controls) that enable analysts and scientists to work autonomously on financial data.
- Lead and Grow the Squad: Line manage and and mentor a small team of data platform engineers, set engineering standards, review design and code, and coordinate with rotating contributors to deliver against the roadmap.
- Partner Across Teams: Collaborate closely with the MLOps / Platform Engineering team on CI/CD and observability, with the AI Solutions and Productization squads on data needs, and with business stakeholders to align the platform with real analytics and self-service use cases.

What You Bring
- Technical Expertise:

📌 Lead Data Platform Engineer (Madrid)
🏢 BME | Bolsas y Mercados Españoles
📍 Madrid