[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Capgemini jobs](https://jobs.opennash.com/companies/capgemini/) · [Search jobs](/search/) Capgemini · Lisboa # Data Engineer Lisboa Data & Analytics Listed on Capgemini’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Capgemini’s careers site →](https://www.capgemini.com/jobs/497947-en_US+sap_btp) [OpenNash Jobs](https://jobs.opennash.com/) / [Capgemini](https://jobs.opennash.com/companies/capgemini/) / Data Engineer ## Job description CAPGEMINI ENGINEERINGAt Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life‑saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities.Where you can make a difference. Where no two days are the same.YOUR ROLEAs a Data Engineer, you will join our Data Platform team and play a critical role in designing, developing, and optimizing scalable data solutions that power analytics, reporting, and business decision-making.You will contribute to building a robust and reliable data ecosystem, working closely with cross-functional teams to deliver high-quality data products.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines using Python, PySpark, and DatabricksBuild efficient and reusable data processing and transformation frameworks following engineering best practicesCollaborate with Data Scientists, Data Analysts, and Software Engineers to deliver robust and scalable data solutionsSupport data modeling activities for analytical and operational use casesDeploy and manage data workloads within Azure Cloud environmentsContribute to CI/CD pipelines and deployment automation using Azure DevOpsWork within Agile teams, actively participating in sprint ceremoniesEnsure high standards of code quality, testing, version control, and documentation using Git and modern engineering practicesYOUR PROFILEWe are looking for a professional combining strong technical expertise with a collaborative mindset and a passion for building reliable data solutions.Required Skills & Experience4+ years of experience in Data Engineering or a similar roleStrong hands-on experience with: PythonPySparkDatabricksProven experience designing and maintaining production-grade data pipelinesSolid understanding of Azure Cloud environmentsAdditional Experience WithAzure DevOpsGit & version control systemsCI/CD pipelinesData Modeling techniquesAgile methodologies (Scrum, Kanban)Soft SkillsStrong analytical and problem-solving abilitiesExcellent communication and collaboration skillsAbility to work independently while contributing effectively within cross-functional teamsProactive mindset with attention to detail and qualityWHAT YOU’LL LOVE ABOUT WORKING HEREJoin a multicultural and inclusive team environmentEnjoy a supportive atmosphere promoting work‑life balanceHybrid workYour career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunitiesAccess valuable training and certifications in cutting‑edge technologiesEngage in exciting national and international projectsHealth and life insuranceReferral program with bonuses for talent recommendationsGreat office locationsCapgemini is an AI‑powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology, and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end‑to‑end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering, and business operations. ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days - Location: Lisboa[Apply on Capgemini’s careers site →](https://www.capgemini.com/jobs/497947-en_US+sap_btp) ## More jobs at Capgemini ### [AI Engineer & Data Science (Google Cloud / Vertex AI)](https://jobs.opennash.com/companies/capgemini/jobs/0c65f7d5370fb313f1dd/) Lisboa ### [Big Data Engineer (Lisbon/Porto)](https://jobs.opennash.com/companies/capgemini/jobs/b28bf8c31008e9225d22/) Lisboa ### [Business Intelligence Manager](https://jobs.opennash.com/companies/capgemini/jobs/cef6a517279e9b2b167a/) Lisboa ### [Data Architect (Databricks Focus)](https://jobs.opennash.com/companies/capgemini/jobs/5a531aa2276a21e41444/) Lisboa ### [Data Architect (Microsoft Fabric Focus)](https://jobs.opennash.com/companies/capgemini/jobs/ac53ef81ffedab8b7075/) Lisboa ## Similar jobs at other companies ### [Data Solution Engineer, Data + AI](https://jobs.opennash.com/companies/microsoft/jobs/e6860d136c34c0225e23/) Microsoft · Singapore ### [Data Engineer - Industrial Data & AI Platforms](https://jobs.opennash.com/companies/accenture/jobs/f6a8ad77f7714a422651/) Accenture ### [Data Engineer II - CPB Data Curation](https://jobs.opennash.com/companies/td-bank-group/jobs/68bb13a51cb3d49d9658/) TD Bank Group · Toronto, Ontario ### [Resiliency Data Products - Data Engineer Vice President](https://jobs.opennash.com/companies/jpmorganchase/jobs/9014ce336f0dd9ce5d4c/) JPMorganChase · LONDON, United Kingdom ### [Staff Data Engineer, Observability Data Lake](https://jobs.opennash.com/companies/cvs-health/jobs/2f7aa743516b959b753f/) CVS Health · Work from home, TX [Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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