Data Engineers

at  Capgemini

THE OPPORTUNITY

Do data pipelines, data migrations and cloud data platforms belong to your comfort zone? Do you master the relevant data tools to enable scalable analytics and AI services? As the cherry on top, are you well-versed in cutting-edge data technologies and generative AI?
We are looking for Data Engineers to join our team. As a member of our Insights & Data practice, you will be part of a global network of data experts and work to design and implement cloud data platforms on a cutting-edge technology stack.

TO SUCCEED IN THIS ROLE, YOU SHOULD HAVE:

• Previous experience as a data engineer or data architect working with Azure, AWS or Google cloud environments.
• Excellent consulting abilities, such as trust-building communication, transforming customer’s business needs into technical solutions, proposing alternative and new approaches.
• Strong skills / experience within at least some of the below mentioned:
• Data warehousing and automation (Snowflake, Wherescape, Agile Data Engine, Datavault Builder…
• Hands-on experience on data integration and processing tools such as Matillion, Talend, Azure Data Factory, Informatica, Databricks or Spark
• CI/CD experience using such tools as Git, Jenkins and Azure DevOps, as an example
• Experience with IaC tools like Terraform, Ansible or AWS CoudFormation
• SQL and Python
• Public, Private, & Hybrid Cloud Strategies
• Information security and privacy issues related to cloud solutions