[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 · Budapest # Databricks Data Engineer Budapest 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/452294-en_GB+sap_btp) [OpenNash Jobs](https://jobs.opennash.com/) / [Capgemini](https://jobs.opennash.com/companies/capgemini/) / Databricks Data Engineer ## Job description Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR PROJECTInsights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. Our expertise lies in Cloud & Big Data engineering, where we build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP. We manage the entire Software Development Life Cycle (SDLC), leveraging modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions.YOU WILLDesign and implement data processing solutions using Databricks for large-scale and diverse datasets.Design, build, and enhance data pipelines with Python and cloud-native tools.Work closely with solution architects to define and uphold best practices in data engineering.Ensure data consistency, security, and scalability within cloud-based environments.YOUR PROFILEStrong experience in data engineering, with at least 1 year of hands-on Databricks expertise.Strong experience in Python for automation and data transformation.Experience working with at least one major cloud platform (AWS, Azure, or GCP).Strong communication skills and strong English language skills. ### Nice to have Solid understanding of SQL with experience in query optimization and data modeling.Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep).Experience with real-time data streaming technologies such as Kafka or Spark Streaming.Knowledge of cloud storage solutions like Data Lake, Snowflake, or Synapse.Hands-on experience with PySpark for distributed data processing.Relevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications.WHAT YOU WILL LOVE ABOUT WORKING HEREAccess our education library with 250,000+ courses, certifications, and learning resources;Well-being Hub: The global Well-Being Hub connects employees across various facets of well-being: work-life balance, working hours and network growth;We value flexibility – hybrid work and flexible hours help you maintain a healthy work-life balance;We also offer additional benefits such as Employee referral bonus and Company shares program; Interested in how Databricks plays a key role in Capgemini’s data and AI strategy?Learn more about our global partnership with Databricks here:[https://www.capgemini.com/about-us/technology-partners/databricks/Capgemini](https://www.capgemini.com/about-us/technology-partners/databricks/Capgemini) 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. The Group reported 2024 global revenues of €22.1 billion.Make it real | www.capgemini.com ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Aug 1, 2026 - Last checked: Oct 18, 2026 - Listed for: 78 days - Location: Budapest[Apply on Capgemini’s careers site →](https://www.capgemini.com/jobs/452294-en_GB+sap_btp) ## More jobs at Capgemini ### [Data Architect](https://jobs.opennash.com/companies/capgemini/jobs/0dad4b8259b8e563612f/) Budapest ### [IT Üzleti Elemző](https://jobs.opennash.com/companies/capgemini/jobs/ffb9fdd0de0fe969ae4f/) Budapest ### [Medior Java Developer](https://jobs.opennash.com/companies/capgemini/jobs/e89b99397d06d1ed3767/) Budapest ### [Rendszerszervező](https://jobs.opennash.com/companies/capgemini/jobs/38996e8ad80400caf4ef/) Budapest ### [Senior Backend Platform Engineer](https://jobs.opennash.com/companies/capgemini/jobs/76aec18af142ed10713b/) Budapest ## Similar jobs at other companies ### [Data Engineer / Databricks Platform Administrator](https://jobs.opennash.com/companies/accenture/jobs/961b77558e49a8d8f12d/) Accenture ### [Data Engineer – AWS Kinesis & Databricks - AU Citizen](https://jobs.opennash.com/companies/accenture/jobs/6d783271eeff35ac53d1/) Accenture ### [Software Engineer III - Backend / Data Engineer - Java, Python, Databricks](https://jobs.opennash.com/companies/jpmorganchase/jobs/de74fe98977131a0033c/) JPMorganChase · LONDON, United Kingdom ### [Senior Lead Site Reliability Engineer - Cloud Data & Databricks](https://jobs.opennash.com/companies/jpmorganchase/jobs/94580922d3490c7e4dce/) JPMorganChase · Hyderabad, Telangana, India ### [Data Engineer-Data Platforms-Databricks](https://jobs.opennash.com/companies/ibm/jobs/389cc551088cbd84c63f/) IBM · Bangalore, IND [Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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