Data Engineer ( Azure / Databricks / Snowflake / GCP)

Job Description

As Stephen Few states: “We are overwhelmed by information, not because there is too much, but because we haven't learned how to tame it.” Capgemini Insights & Data is looking for people who tame data in such a way that the most complex data can be easily interpreted.

You will join a group of data enthusiasts within a global organization of 350.000 employees. As our growth potential within Belgium is huge, you will vastly grow with us.

If you believe that honesty, boldness, modesty, trust, freedom, team spirit and fun are important company values, then we have a match. Check it out, here you find our seven core values. Combined with firm goals on equality, inclusion and zero carbon emissions, Capgemini will be your partner to get the future you want.

We are looking for a Data Engineer to help our clients in their digital transformations.

What will you do?

• Integrate, transform and consolidate data from various structured and unstructured data systems
• Ensure data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints
• Create and design data models
• Translate functional requirements into a scalable, fit-for-use technical design

You have knowledge of / You are keen to learn more about

• One more more leading Data platforms: Azure, Databricks, Snowflake, Google Cloud Platform and it's infra and CI/CD context

• Microsoft Fabric, Azure Data Factory, Synapse, Azure SQL database, Azure Devops, Azure Analysis Services, ...

• Snowflake, Snowpipe, Snowflake Native Apps, ...
• Databricks

• Google BigQuery, Dataproc, Datastage, DataPlex, Cortex,...

• Keen understanding of Data Modeling methodologies (Kimball, Data Vault 2.0)

• Knowledge of Lakehouse principles and medallion architecture

• Expert knowledge of SQL and T-SQL
• Experience with DBT

Relevant Certificates

• DP-203: Data Engineering on Microsoft Azure
• Snowpro core/advanced
• Databricks Lakehouse Professional
• Google Professional Data Engineer

Continuous Learning

Capgemini Belgium is a Top Employer for the 18th year in a row. Opportunities to learn are an important aspect of this Top Employer status. The two most important criteria to apply is to have an appetite for data and a willingness to continuously learn.

Location Belgium

Part-time on-site, part-time home working.

Communication and personality

• English: must have, next to either Dutch or French.
• Good written and oral communication, problem-solving mindset, able to work independently, dynamic.
• Good presentation skills.
• Ability to work in a team, integrate and work in an international/multi-cultural environment, on variable-sized projects.