Cloud Data Engineer: Azure/Databricks, Hybrid & Global

Capgemini; Belgique; Hybride; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Net expenses

Company car or mobility budget

Health insurance

Meal vouchers

Pension plan

Eco vouchers from €250/year

A flex plan to buy extra days off/home

32 vacation days

Résumé du poste

Sogeti Belgium is seeking a data engineer to build and evolve cloud-based data platforms that enable analytics reporting and AI use cases. You’ll work close to the data and the business to deliver scalable, reliable data solutions.

Core responsibilities include designing data pipelines on modern cloud platforms, implementing ingestion, transformation and data modeling patterns, ensuring data quality and cost awareness, and collaborating with architects, analytics consultants and client teams to

Qualifications

• Must have strong data engineer experience on modern data platforms.
• Hands-on with Azure and Databricks.
• Solid knowledge of SQL and data modeling concepts.
• Professional working proficiency in English; Dutch or French is a strong advantage.

Responsabilités

• Design and develop data pipelines on modern cloud platforms.
• Implement data ingestion, transformation and data modeling patterns.
• Ensure data quality, performance and cost awareness in data solutions.
• Collaborate with architects, analytics consultants and client teams.
• Contribute to continuous improvement of data engineering practices.
• Enable data availability and quality for advanced analytics and AI use cases.

Connaissances

Data engineering experience

English proficiency

Dutch or French advantage

Outils

Azure

Databricks

SQL

Data modeling concepts

Description du poste

Sogeti Belgium is seeking a data engineer to build and evolve cloud-based data platforms that enable analytics reporting and AI use cases. You’ll work close to the data and the business to deliver scalable, reliable data solutions.

Core responsibilities include designing data pipelines on modern cloud platforms, implementing ingestion, transformation and data modeling patterns, ensuring data quality and cost awareness, and collaborating with architects, analytics consultants and client teams to