Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement data pipelines using Python and Snowflake, optimising for performance.
- Company: Capgemini is a global leader in business and technology transformation with a strong focus on sustainability.
- Benefits: Enjoy a collaborative work culture, remote work options, and opportunities for personal growth.
- Why this job: Join a team that empowers you to shape your career while making a positive impact on the world.
- Qualifications: Experience in Python, Snowflake, and data engineering concepts is essential; familiarity with Git and CI/CD is a plus.
- Other info: Work in an agile environment with a diverse team across 50+ countries.
The predicted salary is between 21600 - 36000 £ per year.
Get The Future You Want! Choosing Capgemini means joining a company that empowers you to shape your career, supports and inspires a collaborative community of colleagues worldwide, and encourages reimagining what's possible. Join us to help leading organizations unlock the value of technology and build a more sustainable, inclusive world.
Your Role:
- Design and implement robust data pipelines using Python and Snowflake.
- Develop and maintain ETL/ELT workflows supporting analytics and reporting.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Optimize data models and queries for performance and scalability.
- Ensure data quality, integrity, and security across processes.
- Document technical solutions and maintain best practices in data engineering.
Your Profile:
- Proven experience in Python programming for data engineering.
- Hands-on expertise with Snowflake, including data modeling, performance tuning, and SQL scripting.
- Strong understanding of data warehousing concepts and cloud data platforms.
- Proficiency with version control systems like Git.
- Familiarity with CI/CD pipelines for development workflows.
- Excellent analytical, problem-solving, and communication skills.
- Exposure to domain-specific languages such as Slang.
- Experience with orchestration tools like Apache Airflow or dbt.
- Understanding of data governance and compliance standards.
- Ability to work collaboratively in agile, fast-paced environments.
About Capgemini:
Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital and sustainable transitions while creating tangible impacts. With over 55 years of heritage, 350,000 team members across more than 50 countries, and 2023 revenues of €22.5 billion, Capgemini leverages AI, cloud, and data expertise to address diverse business needs.
Data Engineer - Python and Snowflake employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Python and Snowflake
✨Tip Number 1
Familiarise yourself with the latest features and updates in Python and Snowflake. Being well-versed in these technologies will not only boost your confidence but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with current Data Engineers or professionals in similar roles at Capgemini. Use platforms like LinkedIn to connect and ask about their experiences, which can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented data pipelines or worked with ETL/ELT processes. Highlighting your hands-on experience will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 4
Stay updated on industry trends related to data engineering and cloud platforms. Showing that you're proactive about learning and adapting to new technologies can set you apart from other candidates.
We think you need these skills to ace Data Engineer - Python and Snowflake
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and Snowflake specifically. Include relevant projects or roles that demonstrate your skills in data engineering, ETL/ELT workflows, and data modelling.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with Capgemini's mission to unlock the value of technology and your understanding of data governance and compliance standards.
Showcase Relevant Skills: Clearly outline your proficiency with version control systems like Git and any experience with orchestration tools such as Apache Airflow or dbt. This will demonstrate your technical capabilities and readiness for the role.
Highlight Collaboration Experience: Since the role involves working with data scientists, analysts, and business stakeholders, include examples of past collaborative projects. Emphasise your ability to communicate effectively and work in agile environments.
How to prepare for a job interview at Capgemini
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've implemented data pipelines or ETL processes, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Snowflake Expertise
Since the role requires hands-on expertise with Snowflake, make sure to review its features and functionalities. Be ready to talk about your experience with data modelling, performance tuning, and SQL scripting within Snowflake.
✨Understand Data Warehousing Concepts
Brush up on your knowledge of data warehousing concepts. Be prepared to discuss how you have applied these concepts in previous roles, particularly in relation to cloud data platforms and ensuring data quality and integrity.
✨Prepare for Collaboration Questions
As collaboration is key in this role, think of examples where you've worked with data scientists, analysts, or business stakeholders. Be ready to discuss how you gathered requirements and ensured that the data solutions met their needs.
