Data Engineer Location: Remote (Portugal) Employment: Full-time / Contract About Loop Future: Loop Future combines technology, innovation, and sustainability to create digital solutions that shape the future. By integrating software engineering, cloud solutions, salesforce expertise, and intelligent sourcing, Loop Future connects people, systems, and industries — driving efficiency, growth, and global impact. We are Headquartered in Portugal, with offices in Lisbon, Porto, Coimbra, Leiria and Braga; we are also supported by our international offices in the UK, Switzerland and India. The company brings together a diverse and talented team committed to delivering cutting-edge digital experiences into domains such as TV &Media, Satellite & Space, Consultancy, Retail and many other domains. About the Role: We are looking for a hands-on Senior Data Engineer with strong experience in Azure Fabric and modern data platforms to join us. This role is ideal for someone who combines strong technical expertise with a collaborative and business-oriented mindset. You will be responsible for building scalable data pipelines, improving data performance and reliability, and supporting the implementation of modern data architectures within enterprise environments. Core responsibilities: - Design and implement ETL/ELT pipelines for data extraction, transformation, and loading - Develop scalable and optimized data solutions using Azure Fabric and PySpark - Improve process efficiency, performance tuning, and data reliability across workflows - Design and maintain dimensional data models (Star Schema, Snowflake, Data Vault) - Collaborate with business and technical stakeholders to gather requirements and support UAT activities - Implement CI/CD practices and version control processes using DevOps and Git - Support integration and standardization of enterprise data sources - Contribute to Agile ceremonies and collaborate with cross-functional teams - Ensure solutions follow security, governance, and best engineering practices Requirements: - 1–2+ years of experience with the mentioned technologies - Strong knowledge of Azure Fabric - Hands-on experience with PySpark - Experience building and maintaining ETL/ELT pipelines - Good understanding of process optimization and performance tuning - Experience with dimensional modelling concepts such as Star Schema, Snowflake, and Data Vault - Knowledge of CI/CD processes, DevOps practices, and Git - SAP / SAP BW / Datasphere knowledge is considered a plus - Strong communication and stakeholder management skills - Fluent Portuguese and English