Data Engineer

Job Description:

Data engineers import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards.

The role plays a critical role in leveraging data analysis to provide insights and recommendations to the stakeholders.

Technical skills combined with consulting skills support decision-making, drive business growth, and deliver value through data-driven insights.

Job requirements:

- Local presence in Antwerpen is required approximately 50% of the time.

Technology Stack:

Required: Azure, Databricks/DBT, Data Modelling

Important but not mandatory: Collibra, Datavault

Advantage: Oracle

- Banking Knowledge: Preferred

- Working Model: Working in a small agile squad, coached by experienced Architects and a senior Data Engineer

📌 Data engineer (España)
🏢 Capgemini
📍 España