Data Engineer

At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people. We are proud of the culture we have built together. We are proud of our people at the service of technology. We are proud of our diverse environment. Because we are #TechforPeople. Join our multidisciplinary team of Cloud experts, Designers, Business consultants, Security experts, Engineers, Developers and other extraordinary talents, spread across more than 20 EMEA countries. Become one of our +10.000 tech and business leaders on cloud, data and cyber security. Let’s fuse creativity with technology together and build innovative solutions that actively change things for the better.

We are currently looking for an Data Engineer to work with us:

• Knowledge of SQL, Python, Databricks, Datafactory in Azure Cloud.
• Knowledge of Star Schema data models.
• Ability to understand requirements for building indicators/KPIs.
• Collaboration in building analytical data models.
• Construction of ETL processes.
• In the following technologies: SQL Server, Python, Databricks, Datafactory.

• Strong analytic skills related to working with unstructured datasets.
• Advanced working SQL knowledge and experience working with relational databases.
• Experience building and optimizing big data data pipelines, architectures, and data sets using Azure and Databricks.
• Strong experience with Microsoft Azure services including Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, and others.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience supporting and working with cross-functional teams in a dynamic environment.