Data Engineer: Build Scalable Data Pipelines & Warehouses

Cream Consulting; Brussel Hoofdstad; Sur place; EUR 52 000 - 76 000; Plein temps

Avantages offerts par ce poste

Meal vouchers

Insurance package

Mobility plan

Résumé du poste

Cream Consulting is seeking a Data Engineer to design and maintain robust data infrastructures, enabling business teams to leverage data efficiently. You will build scalable data architectures and ETL/ELT pipelines while ensuring data quality and security.

You will collaborate with analysts and scientists, apply modern data technologies, and contribute to governance across systems. Fluency in French and English is required; Dutch is a plus.

Qualifications

• At least 2 years of experience in data engineering.
• It has a Master’s degree or equivalent by experience (~5 years).
• It requires strong SQL and data pipeline development experience.
• It involves hands-on use of data tools and platforms (Azure Data Factory, AWS, Apache Spark, SSIS, Databricks).
• It requires knowledge of Python or other data processing languages.
• It demands a good understanding of SQL and NoSQL databases.
• It requires fluency in French and English; Dutch is a plus.

Responsabilités

• Design and develop scalable data architectures (data warehouses, data lakes, data marts).
• Build and maintain efficient ETL/ELT pipelines.
• Ensure data quality, reliability and performance across systems.
• Optimize data processing and storage solutions.
• Implement data security and governance best practices.
• Collaborate with data analysts, data scientists and business teams to understand data needs.
• Contribute to selection and implementation of modern data technologies.

Connaissances

SQL

Data pipelines

Data analysis

Python

Problem solving

Attention to detail

Formation

Master’s degree in IT or Business Administration

Outils

Azure Data Factory

AWS

Apache Spark

SSIS

Databricks

Description du poste

Cream Consulting is seeking a Data Engineer to design and maintain robust data infrastructures, enabling business teams to leverage data efficiently. You will build scalable data architectures and ETL/ELT pipelines while ensuring data quality and security.

You will collaborate with analysts and scientists, apply modern data technologies, and contribute to governance across systems. Fluency in French and English is required; Dutch is a plus.