Job Summary: We are seeking a Senior Databricks Data Engineer to drive the development of data pipelines and build scalable data engineering solutions on Azure Databricks. Key Highlights: 1. Participate in cross-sector projects with data professionals. 2. Develop robust data pipelines using PySpark, SQL, and Databricks. 3. Collaborate with architects and contribute to process improvements. Madrid Data Engineer Databricks Choosing Capgemini means choosing the opportunity to shape your professional career as you wish. You will receive support and inspiration from a collaborative community of colleagues worldwide and be empowered to reimagine what is possible. Join our team and help leading global organizations discover the value of technology and build a more sustainable and inclusive world. Are you eager to join us and participate in cross-sector projects within a team composed of data professionals such as Data Scientists, Data Engineers, or Data Analysts? Our goal is to support our clients on their journey toward continuous innovation. What will you do in this project? What will be your role? The Senior Databricks Developer will drive enterprise-level data pipeline development and bring hands-on expertise in building scalable, high-performance data engineering solutions on Azure Databricks. This position focuses on thorough technical implementation, code quality, and optimization of data workflows. Key Responsibilities * Design and implement robust ETL/ELT processes using PySpark, SQL, and Databricks notebooks. * Build high-performance batch and streaming pipelines aligned with Medallion architecture principles. * Optimize and troubleshoot Spark jobs to ensure reliability, efficiency, and scalability. * Collaborate closely with architects to understand solution designs and translate them into high-quality implementations. * Ensure adherence to engineering best practices, including unit testing, CI/CD, version control, and documentation. * Conduct peer code reviews, mentor junior engineers, and contribute to team-wide process improvements. * Integrate Azure services (Data Factory, Data Lake, Event Hub, Synapse) to support comprehensive data solutions. * Maintain rigorous standards for data quality, validation, and governance. To succeed in this position, you need: * Proven hands-on experience with Databricks, Spark optimization, and PySpark programming. * Solid understanding of data warehousing concepts and cloud-native data architectures. * Strong communication skills and ability to collaborate with functional teams. * English B2. A disability certification will be positively considered under our inclusion and diversity policy. We welcome all applications. We offer an extensive training portfolio, including classroom-based and online certification programs. Even if you don’t meet 100% of the desired qualifications, we’d love to meet you! Our commitment to inclusion and equal opportunities is reflected in our Equality Plan and Code of Ethics, which guarantee professional development for all employees and equal opportunities in recruitment—within a discrimination-free environment, regardless of ethnicity, nationality, social origin, age, sexual orientation, gender expression, religion, or any other personal, physical, or social circumstance. What will you enjoy about working here? We offer a comprehensive set of Development and Work-Life Balance measures, including: * A uniquely valued work environment, consistently highlighted by our professionals in periodic evaluations. * Wellbeing HUB — Includes policies and initiatives for physical health (Wellhub) and mental well-being. * 24 vacation days + 2 personal days + December 24 and 31 + option to purchase up to 7 additional vacation days per year. * FlexAbroad: possibility to work remotely from another country for up to 45 days. * Flexible Compensation Plan (health insurance, transportation, training, meal card or food allowance, childcare…) * Continuous learning: access to MyLearning, Capgemini University, Digital Campuses, and Professional Communities. Platforms available include Coursera, Udemy, Pluralsight, Harvard Manager Mentor, Education First for languages (English, French, German…), among others! * Participation in Volunteering and Social Action initiatives through our Sustainability, Inclusion, and Equality Groups. * Onboarding support through our Buddies program. * Life and Accident Insurance. Why Capgemini? Capgemini is a global leader in transforming clients’ businesses by harnessing the full power of technology. Our purpose is to achieve an inclusive and sustainable future through technology and the energy of those who develop it. We are a responsible and diverse company, an international leader in IT and Engineering services, with over 420,000 professionals across 50+ countries. With a strong 55-year heritage and deep industry expertise, clients trust Capgemini to address their full business needs—from strategy and design to operations—powered by the fast-evolving worlds of cloud, data, AI, connectivity, software, platforms, and digital engineering. The Group reported €22 billion in global revenue in 2022. Rewrite your future. Join the team! www.capgemini.com/es-es Ref. code 401771-es_ES Posted on 20 Feb 2026 Experience level Experienced Professionals Contract type Permanent Location Madrid Business unit I and D Global Business Line Brand Capgemini Professional communities Data & AI