Data Engineer
Role details
Job location
Tech stack
Job description
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Integrate, transform and consolidate data from various structured and unstructured data systems
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Ensure data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints
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Create and design data models
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Translate functional requirements into a scalable, fit-for-use technical design, At Capgemini Belgium we offer flexibility in more than one way: next to our hybrid way of working, where we offer you can work 70% from home, we also offer our flex abroad program. With this program you can work up to 45 days abroad, this to maintain a good work-life balance. Next to this we also offer following additional benefits:
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Net expenses
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Company car or mobility budget (whatever works best for you)
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Health insurance
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Meal vouchers
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Pension plan
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Eco vouchers from €250/year.
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A flex plan where you can buy extra days off, update your insurance or buy home office supplies.
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32 vacation days + Bank holidays.
Requirements
- 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, ...
- Databricks
- Snowflake, Snowpipe, Snowflake Native Apps, ...
- 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 or DBT
- Fluent in Dutch with professional working proficiency in English
Relevant certificates
- DP-203: Data Engineering on Microsoft Azure
- Snowpro core/advanced
- Databricks Lakehouse Professional
About the company
Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.