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# Analytics Engineer & Developer

- **Company:** GFT
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Microsoft Outlook, Cloud Computing, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Visualization, Information Lifecycle Management, Microsoft Visual Studio, Object-Oriented Software Development, Power BI, Microsoft SharePoint, SQL Stored Procedures, Transact-SQL, Azure Data Factory, Generative AI, Powerquery, Data Layers, Microsoft Fabric, Data Pipelines
- **Published:** May 27, 2026
- **Apply:** https://www.opcionempleo.com/jobad/es2a941c1a143d112043f8d76eccb0b208

## About the Role

Advanced experience with Power BI (administration, governance, DAX, Premium environments and storage modes)
Strong knowledge of SQL Server / Azure, including advanced T-SQL and data transformation
Proven experience in data modelling (semantic models, TMDL, Tabular Object Model - TOM)
Hands-on experience in data engineering, including ETL/ELT processes, pipelines and Azure Data Factory
Experience working with large-scale data environments and optimizing performance (T-SQL, DAX, VertiPaq)
Strong understanding of data governance, security and scalability principles
Valuable knowledge:
Experience with Microsoft Fabric and lakehouse architectures
Familiarity with Power BI storage modes (Direct Lake, Import, DirectQuery) and performance trade-offs
Knowledge of data lifecycle management, including partitioning and incremental refresh
Experience using AI-assisted development tools (e.g. Copilot or other GenAI tools)
Preferred Skills:

 * Experience with GIT and version control best practices
 * Familiarity with Visual Studio Code

Knowledge of Power Query (M)
Familiarity with Microsoft 365 (Outlook, Teams, SharePoint)
Data visualization & storytelling skills.
Soft Skills:

 * Independent working style combined with strong teamwork
 * Ability to translate business needs into BI models
 * Strong abstraction and analytical skills for requirements and data modeling
 * Clear communication with both technical and business audiences
 * Technical documentation and organizational skills (agendas, sprints)
 * Proactive problem-solving and creativity
 * Fast learning and adaptability

## Description

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.
Your main responsibilities will be:

 * Design and maintain enterprise 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
 * Manage Power BI Premium Capacity, including:

 * 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 * Manage data 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 a strong balance of technical expertise, analytical thinking and business understanding, who is comfortable working across the full data lifecycle.


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