Data Engineer - Python (w/m/d)

Analytics and Emerging Digital Technologies
Make sure to read the full description below, and please apply immediately if you are confident you meet all the requirements.
Employment Type: Full Time
If you’re looking for a challenge that stretches your talents and want to make a real difference in how modern businesses harness cloud-native data solutions, come and help us grow our Data Engineering capability at CGI. We need a skilled Data Engineer with a focus on Snowflake to help us build scalable, impactful data platforms using modern technologies.
We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector—including our Armed Forces—and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you’ll be part of an open, friendly community of experts. This is a hybrid role with regular travel in the London area. As a Data Engineer specialising in Snowflake, you’ll contribute to the design, development, and optimisation of cloud data platforms, often working with a wide array of cloud services and tools. You’ll play a hands-on role in delivering data solutions that help clients extract insight and business value, while also promoting engineering best practices.
Designing and implementing scalable data warehouse solutions using Snowflake

• Building efficient ELT/ETL pipelines using DBT and other modern tooling
  
• Writing and optimising complex SQL queries for large datasets
  
• Applying software engineering principles to data systems, including version control, testing, monitoring and CI/CD
  
• Working with cloud infrastructure on platforms like AWS, Azure or GCP
  
• Supporting real-time and near-real-time data analytics initiatives
  
• Leveraging orchestration tools such as Airflow, Dagster, Azure Data Factory or Fivetran
  Solid experience designing and delivering Snowflake-based data warehouse solutions
  
• Strong SQL skills with experience across relational and non-relational databases
  
• Proficiency in a modern programming language such as Python, Java or Scala
  
• Hands-on experience using DBT for pipeline development and transformation
  
• Familiarity with cloud platforms such as AWS, Azure or GCP
  
• Airflow, Dagster, Azure Data Factory, Fivetran)
  Experience deploying AI/ML models in production environments
  
• Familiarity with AWS data services (e.g., Exposure to real-time data streaming and analytics paradigms
  #Data Engineering
  Come join our team—one of the largest IT and business consulting services firms in the world.