Data Engineer - Python and Snowflake

Capgemini; London; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading company, Capgemini, is looking for a Data Engineer to design robust data pipelines and optimize ETL/ELT workflows. The role requires strong experience in Python and Snowflake, along with excellent analytical skills. Join us to work in a collaborative environment and leverage data to drive business transformation.

Qualifications

• 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.

Responsibilities

• Design and implement robust data pipelines using Python and Snowflake.
• Develop and maintain ETL/ELT workflows supporting analytics and reporting.
• Collaborate with data scientists and business stakeholders.

Skills

Python programming

Data engineering

SQL

Data modeling

Performance tuning

Analytical skills

Problem-solving

Version control (Git)

Data governance

Job description

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.

Get The Future You Want | www.capgemini.com