Fecha: 17 jul 2026

Si cree que es el candidato ideal para la siguiente posibilidad, envíe su solicitud después de leer la descripción completa.
GFT Technologies is an AI-centric global digital transformation company. We design advanced data and AI business transformation solutions, modernize technology architectures and develop next-generation core systems for industry leaders in Banking, Insurance, Manufacturing and Robotics. Partnering closely with our clients, we push boundaries to unlock their full potential.

We are looking for an experienced Analytics Engineer & Developer to join our team. In this role, you will focus on data modelling, data engineering and analytics architecture, working closely with business stakeholders to translate their needs into robust and scalable BI solutions. This is not a pure reporting role — you will be responsible for designing and optimizing the data foundations behind Power BI, ensuring performance, scalability and reliability.

Responsibilities

-
- Design and maintainenterprise data models and semantic layers




- Perform data analysis and collaborate with business stakeholders for requirements gathering
- Define and implement KPIs aligned with business objectives
- Develop and optimize Power BI datasets and semantic models
- Query cost management
- Workspace administration & governance
- Security & access control

Ensure data governance and security best practices, including Row-Level Security (RLS)

Optimize performance across T‑SQL queries, stored procedures, and DAX measures

-
- Managedata dependencies, partitioning, and incremental refresh strategies
- Build and maintain end-to-end data pipelines and transformations

Collaborate with and support Power BI / Microsoft Fabric key users

Work closely with cross-functional teams (business, analytics, data engineering)

Stay up to date with cloud, AI and Microsoft Fabric ecosystem, adapting to evolving technologies

What we are looking for
We are looking for a professional with

📌 Analytics Engineer (Madrid)
🏢 Gft Technologies
📍 Madrid