Data Engineer Fabric

Description

Choosing Capgemini means choosing a company where you’ll have the freedom to shape your professional career as you wish, backed and inspired by a collaborative global community of colleagues. Here, you can reinvent what’s possible. Join us and help the world’s leading organizations discover the value of technology and build a more sustainable and inclusive world. We have a Data & AI team that would be delighted to welcome you. Would you like to join us? **What will your role be?** We are seeking a **Data Engineer with experience in Fabric** to join our R&D team. The ideal candidate will have hands-on experience developing with Fabric, as well as strong English communication skills to collaborate effectively with international teams, performing the following responsibilities: * Implementing ingestion and transformation pipelines; developing lakehouses and datasets in Fabric/Power BI; automating processes via CI/CD. * Responsible for developing and managing data flows. * Responsible for designing, implementing, and maintaining data analytics solutions using the Fabric platform, integrating Power BI, Data Factory, Synapse, and other Microsoft services. * Building efficient and scalable data pipelines using Dataflows and Data Factory. **Your profile:** * 3+ years of experience as a Data Engineer working with large-scale data processing, both in Cloud services and integration tools. * Experience with Data Factory (Dataflows, Spark Notebooks). * Experience with the Microsoft Fabric suite: Lakehouse (Delta and Parquet) and medallion methodology; Data Warehouse (SQL Server, Synapse DWH); Notebooks and Pipelines. * Solid knowledge of data modeling, ETL/ELT, and data architecture. * Proficiency in SQL. * Knowledge and experience in at least one programming language such as Python, Spark/Scala, or PySpark. * Knowledge and experience with Purview (Business Glossary). * Familiarity with DataOps practices, including version control (Git) and CI/CD. * Experience with software development best practices (application architecture, optimization, unit testing, etc.). * Academic background: Bachelor’s degree (Computer Engineering, Physics, Statistics, Mathematics) or Higher Vocational Training (DAM, DAW). * Microsoft DP-700 and DP-600 certifications are a plus. * Advanced level of English. We value all applications and offer in-person, online, and certification-based training. Even if you don’t meet 100% of the requirements, we’d love to meet you! **What will you love about working here?** * Diverse and challenging projects: You’ll work on cross-sector challenges, avoiding routine and gaining exposure to a wide range of technologies. * Flexibility and hybrid work model: A culture focused on work-life balance. * Continuous learning: * Training in cloud technologies, data governance, visualization, etc. * Real involvement in projects using generative AI, Business AI, and emerging data technologies. * Diverse clients and constant innovation: High-impact projects with leading organizations. * Collaborative and inclusive environments: Dynamic, multicultural teams focused on growth. * Professional growth and technical “challenge”: Autonomy, mentoring, certifications, and opportunities to expand your role within the Data & AI domain. **Why Capgemini? Our commitments and priorities** Our Equality Plan and Code of Ethics ensure inclusive, non-discriminatory processes that foster talent within a multicultural and accessible environment for people with disabilities (holding a disability certificate is viewed positively). Capgemini is a global partner in business and technological transformation, helping organizations accelerate their dual transition toward a digital and sustainable world—delivering tangible impact both for businesses and society. We are a responsible and diverse group, with 340,000 professionals across 50+ countries. With over 55 years of experience, our clients trust Capgemini to harness the value of technology and meet all their business needs. We deliver end-to-end solutions—from strategy and design to engineering—powered by our leadership capabilities in artificial intelligence, generative AI, cloud, and data, combined with deep industry expertise and a robust partner ecosystem. MAKE IT REAL. Join the team! www.capgemini.com/es-es