Data Engineer mit Python (A)

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.