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Senior Data Engineer (Snowflake)

At Capgemini, you’ll have the opportunity to shape your career in a way that suits you, supported by a community of experts who inspire and empower you. We believe in reimagining what’s possible - using technology to build a more sustainable, inclusive world. Our Insights & Data team is at the forefront of this mission, delivering end-to-end Data & AI solutions across industries. With over 550 specialists in the Nordics, we leverage strategic partnerships with Google, AWS, Microsoft, Databricks, and Snowflake to scale Data & Analytics in the Cloud. Here, your expertise and perspective matter - join us in driving innovation and transforming industries with cutting-edge data solutions! 

Your role 
As a Senior Data Engineer with a Snowflake focus, you will be building scalable and secure data platforms. You will leverage your expertise in Snowflake and other plattforms like Azure and/or AWS to design, develop, and implement data plattforms, data warehouses, data lakehouses, and AI/ML plattforms that fuel our data-driven operations. You will also be collaborationg with and growing within our Snowflake community. 
 
In this role you will play a key part in:

  • Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. 
  • Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Snowflake Snowpark, Cortex and Marketplace to develop models and drive business insights. 
  • Design and build high-performance data pipelines - utilize Snowflake, Python, and Apache Spark. 
  • Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. 
  • Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices.

Your Profile  

  • Proven expertise in Snowflake, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. 
  • Experience with Microsoft Azure cloud platform and tools like DBT. 
  • Strong knowledge of SQL & Python and hands-on experience with AI/ML concepts and tools. 
  • Excellent problem-solving and analytical skills and strong communication and teamwork skills.
  • Passion for data and a thirst for learning.


What we believe you will enjoy about working here  

  • We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.  
  • At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.  
  • Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure. 

 

Application
As part of our recruitment process, identity verification will be conducted through inspection of your ID card, and background checks may be carried out as required. #LI-AKARLSSON 

About Capgemini  
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 
Ref. code:  254995
Posted on:  Dec 1, 2025
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Stockholm, SE

Brand:  Capgemini
Professional Community:  Data & AI

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