Data Engineer

Capgemini; Vlaams-Brabant; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Capgemini is seeking a Data Engineer to import, inspect, clean, transform and model data to support business goals. You will ensure reliable data sources and collaborate within a small agile squad guided by experienced Architects and a senior Data Engineer.

The role emphasizes data-driven insights to inform stakeholder decisions and drive business growth, with a blend of technical and consulting skills.

Qualifications

• Data engineers import, inspect, clean, transform, validate, model, or interpret data to support business goals.
• Ensure data sources and repositories provide reliable, consistent data for analyses and reporting.
• Working in a small agile squad, coached by Architects and a senior Data Engineer.

Responsabilités

• Leverage data analysis to provide insights and recommendations to stakeholders.
• Support decision-making and drive business growth with data-driven insights.

Connaissances

Azure

Databricks/DBT

Data Modelling

Banking Knowledge

Agile/Scrum

Outils

Collibra

Datavault

Oracle

Description du poste

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