Summary: Seeking an experienced Databricks Engineer to design, build, and optimize large-scale data pipelines on Azure using Spark and Databricks, bringing expertise in distributed data processing and modern data ingestion patterns. Highlights: 1. Design, build, and optimize large-scale data pipelines on Azure 2. Build fault-tolerant, self-healing, adaptive, and highly accurate data pipelines 3. Encourages flexibility for better work-life balance and empowerment Aguascalientes, Guadalajara, Mexico City Databricks Engineer **About Capgemini Group** Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50\-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. We are seeking an experienced **Databricks Engineer** to design, build, and optimize large‑scale data pipelines on Azure using Spark and Databricks. The ideal candidate brings deep expertise in distributed data processing, hands‑on experience with modern data ingestion patterns, and a strong ability to operate in agile environments. **REQUIREMENTS** * 6\+ years of experience in Big Data and Data Engineering. * Strong expertise in Spark (PySpark) and Azure Databricks for large‑scale distributed data processing. * Hands\-on experience developing data pipelines and applying data ingestion patterns within Azure ecosystems. * Proficiency with orchestration tools such as Azure Data Factory (ADF) or Apache Airflow. * Advanced SQL skills, including performance tuning for large datasets. * Experience with denormalized data modeling for big data platforms. * Background working in agile methodologies such as Scrum or Kanban. * Fluent English communication skills, both written and verbal. **RESPONSIBILITIES** * Demonstrate deep knowledge of the data engineering domain to build and support non\-interactive (batch, distributed) \& real\-time, highly available data, data pipeline, and technology capabilities * Build fault\-tolerant, self\-healing, adaptive, and highly accurate data computational pipelines * Provide consultation and lead the implementation of complex programs * Develop and maintain documentation relating to all assigned systems and projects * Tune queries running over billions of rows of data running in a distributed query engine * Perform root cause analysis to identify permanent resolutions to software or business process issues **What you will love about working with us:** * At Capgemini we’re always looking ahead. * We reimagine possibilities, and we innovate with technology to bring ideas to life. * We encourage flexibility in how, when, and where people get their work done, allowing a better work\-life balance, and greater empowerment. * They partner with their managers to find an arrangement that works best for their role and their circumstances. * We offer game\-changing programs to accelerate the growth of our people and the development of their expertise. **What you need to know about what we offer:** * Excellent compensation and benefits * Career path, trainings and real growth opportunities * Engaging and challenging projects. * Excellent work environment and culture. * Open and Effective management. * Highly professional and collaborative teams. At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position. Ref. code 418935\-en\_US Posted on 16 Feb 2026 Experience level Experienced Professionals Contract type Permanent Location Aguascalientes, Guadalajara, Mexico City Business unit I and D Global Business Line Brand Capgemini Professional communities Data \& AI