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 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 platforms like Azure and/or AWS to design, develop, and implement data platforms, data warehouses, data lakehouses, and AI/ML platforms that fuel our data-driven operations. You will also be collaborating closely with colleagues and contribute to a supportive and inclusive Snowflake community, where knowledge sharing and continuous learning are encouraged.
In this role you will play a key part in:
- Develop and maintain secure data warehouses and data lakehouses, ensuring trusted and high-quality data for decision making
- 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 - working in an open, respectful environment with business analysts, data scientists, and DevOps engineers
- Stay ahead of the curve by continuously learning and adapting to the evolving landscape of big data technologies and best practices
Your Profile
We know that great candidates don’t always meet every requirement. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every point below.
- Experience with Snowflake, Apache Spark, data pipeline development and familiarity with data warehousing concepts and practices
- Experience with Microsoft Azure cloud platform and tools like DBT or a strong willingness to learn these technologies
- Knowledge of SQL and Python and interest or experience with AI/ML concepts and tools
- Strong problem-solving and analytical skills. along with communication and teamwork abilities
- Passion for data and a growth mindset with curiosity to learn and develop
What we believe you will enjoy about working here
- We recognize the importance of flexibility and offer options such as hybrid work set up and flexible hours, helping you to maintain a healthy work-life balance
- We are committed to building an inclusive workplace where everyone feels valued, supported, and able to thrive
- At the heart of our mission is your career growth. Our array of career development programs and diverse roles support you in exploring new opportunities
- Equip yourself with valuable certifications in the latest technologies, among are partners are Microsoft, Google, AWS, Databricks, Snowflake and Neo4j
- Access to mentorship, learning communities, and support networks to help you grow your career
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
