Data Engineer: Shape Scalable Pipelines & Data Governance

Cream Consulting; Brussel Hoofdstad; Sur place; EUR 55 000 - 75 000; Plein temps

Avantages offerts par ce poste

Mobility plan

Meal vouchers

Insurances

Résumé du poste

Cream Consulting in Brussels is seeking a Data Engineer to design and operate scalable data architectures and pipelines. You will collaborate with analysts, scientists and business teams to translate needs into robust data solutions.

The role requires 2+ years in data engineering, strong SQL/pipeline skills, and experience with Azure Data Factory, Spark and Databricks. Fluency in French and English is essential; Dutch is a plus, with a competitive benefits package.

Qualifications

• Minimum of 2 years of data engineering experience.
• Master's degree in IT or business administration or equivalent by experience (~5 years).
• Strong experience with SQL and data pipeline development.
• Hands-on with data tools and platforms such as Azure Data Factory, AWS, Spark, SSIS, and Databricks.
• Proficient in Python; familiarity with SQL/NoSQL databases.
• Fluent in French and English; Dutch is a plus.
• Strong analytical mindset and problem-solving skills.

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 the selection and implementation of modern data technologies.

Connaissances

SQL

Data pipelines

Python

NoSQL databases

Analytical thinking

French & English

Formation

Master's degree in IT or Business Administration

Equivalent by experience (~5 years)

Outils

Azure Data Factory

AWS

Apache Spark

SSIS

Databricks

Description du poste

Cream Consulting in Brussels is seeking a Data Engineer to design and operate scalable data architectures and pipelines. You will collaborate with analysts, scientists and business teams to translate needs into robust data solutions.

The role requires 2+ years in data engineering, strong SQL/pipeline skills, and experience with Azure Data Factory, Spark and Databricks. Fluency in French and English is essential; Dutch is a plus, with a competitive benefits package.