Data Engineer - Databricks

Capgemini; Diegem; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

A leading consulting firm is seeking data engineers/analysts in Diegem, Belgium. This role focuses on importing, cleaning, and modeling data to provide insights for stakeholders. Candidates must have business fluency in Dutch and English, and experience with Azure and Databricks/DBT is crucial. Local presence in Antwerpen for about 50% of the time is required. This position offers the chance to work in a small agile squad, ensuring a collaborative environment.

Qualifications

• Local presence in Antwerpen is required approximately 50% of the time.
• Must have business fluency in Dutch and English.
• Experience with Azure and Databricks/DBT is essential.

Responsabilités

• Import, inspect, clean, and transform collections of data.
• Ensure data sources provide consistent and reliable data.
• Prepare reports through visualizations like graphs and dashboards.

Connaissances

Data analysis

Azure

Databricks/DBT

Data modelling

Business fluency in Dutch

Business fluency in English

Outils

Collibra

Oracle

Description du poste

Job Description

Data engineers/analysts 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.
• Language mastery: Must have business fluency in Dutch and English, both native or equivalent.
• 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.