[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 # Data Engineer (Snowflake,Cloud) Gdańsk, Katowice, Kraków, Poznań, Warszawa, Wrocław 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/258720-en_GB+sap_btp) [OpenNash Jobs](https://jobs.opennash.com/) / [Capgemini](https://jobs.opennash.com/companies/capgemini/) / Data Engineer (Snowflake,Cloud) ## 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 TeamInsights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision. Your Tasksdesign, develop, and maintain Snowflake data pipelines to support various business functions;collaborate with cross-functional teams to understand data requirements and implement scalable solutions;optimize data models and schemas for performance and efficiency;ensure data integrity, quality, and security throughout the data lifecycle;implement monitoring and alerting systems to proactively identify and address issues;plan and execute migration from on-prem data warehouses to Snowflake;develop AI, ML and Generative AI solution;stay updated on Snowflake best practices and emerging technologies to drive continuous improvement.Your Profileat least - 3 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and/or unstructured datasets (including at least - 1 year of hands-on Snowflake experience);understanding of Snowflake's pricing model and cost optimization strategies for managing resources efficiently;experience in designing and implementing data transformation pipelines natively with Snowflake or Service Partners;familiarity with Snowflake’s security model;practical knowledge of at least one Public Cloud platform in Storage, Compute (+Serverless), Networking and DevOps area supported by commercial project work experience;at least basic knowledge of SQL and one of programming languages: Python/Scala/Java/bash;very good command of English. ### What You'll Love About Working HereWell-being culture medical care with Medicover, private life insurance, and Multisport card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get To Know UsCapgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube. About CapgeminiCapgemini 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 over 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 2025 global revenues of €22.5 billion. ## 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: Gdańsk, Katowice, Kraków, Poznań, Warszawa, Wrocław[Apply on Capgemini’s careers site →](https://www.capgemini.com/jobs/258720-en_GB+sap_btp) ## More jobs at Capgemini ### [Data Engineer (Databricks)](https://jobs.opennash.com/companies/capgemini/jobs/ec04a5e64bb473fc9c4a/) Gdańsk, Katowice, Kraków, Poznań, Warszawa, Wrocław ### [Senior / Mid Data Engineer (Databricks)](https://jobs.opennash.com/companies/capgemini/jobs/b44ff8abffbcca7e4da9/) Gdańsk, Katowice, Kraków, Poznań, Warszawa, Wrocław ### [Senior Data Engineer (Databricks)](https://jobs.opennash.com/companies/capgemini/jobs/66f9f67378a9bf261bc2/) Gdańsk, Katowice, Kraków, Poznań, Warszawa, Wrocław ### [Engineer (Agentic AI)](https://jobs.opennash.com/companies/capgemini/jobs/28ac8c3510bb8c2c23c0/) Gdańsk, Katowice, Kraków, Poznań, Warszawa, Wrocław ### [(Associate) Consultant (m/w/d) AI & Data Strategy](https://jobs.opennash.com/companies/capgemini/jobs/80a0074de6935aadc60e/) Berlin, Frankfurt am Main, Hamburg, Köln, München, Stuttgart ## Similar jobs at other companies ### [Data Engineer - Cloud ETL, Azure, Data Bricks, Snowflake, PySpark](https://jobs.opennash.com/companies/unitedhealth-group/jobs/34e879901e0c5bd47ad1/) UnitedHealth Group · Hyderabad, Telangana ### [Cloud FinOps Data Engineer](https://jobs.opennash.com/companies/accenture/jobs/1122a556fef4ae2b541a/) Accenture ### [Snowflake Engineer](https://jobs.opennash.com/companies/ntt/jobs/b3af7144e6f7e6058ae9/) NTT · Lisboa, Portugal ### [Snowflake Engineer - Porto](https://jobs.opennash.com/companies/ntt/jobs/c5f750902e6a10cdf727/) NTT · Porto, Portugal ### [Lead Software Engineer - Python, Data, Cloud, AIML](https://jobs.opennash.com/companies/jpmorganchase/jobs/e1a4e456414965605e21/) JPMorganChase · LONDON, United Kingdom OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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