Senior BI Data Engineer — Hybrid, Cloud & Data Warehouse

Keystone Solutions; Brussel Hoofdstad; Hybrid; EUR 67,000 - 112,000; Full time

Job summary

Keystone Solutions is seeking a Senior BI Data Engineer to design, develop, and maintain the data platform at a client site. You will build reliable, scalable data solutions to support reporting and data-driven decisions.

Responsibilities include ETL/ELT development, data integration, and data modeling (Kimball) across on-premises and cloud environments. Collaboration with BI developers is key, with a focus on performance, documentation, and best practices.

Qualifications

• 5+ years of relevant experience in BI, data engineering or data warehousing.
• Strong analytical and problem-solving skills.
• Excellent collaboration within multidisciplinary teams.

Responsibilities

• Design, develop, and maintain ETL/ELT processes.
• Integrate data from various sources.
• Develop and optimize data warehouses and data marts.
• Implement dimensional data models (Kimball).
• Implement data solutions in on-premises and cloud environments.
• Support the development team with complex analyses and implementations.
• Prepare and maintain technical documentation.

Skills

Azure Data Factory

Power BI

Spark

Python

Git

Azure DevOps

Data Vault

Data warehousing

Data engineering

Data lake solutions

Data integration and data quality

Dimensional modeling (Kimball)

ETL/ELT processes

Hybrid on-premises and cloud

Microsoft Azure Data Services

Microsoft Fabric

Microsoft SQL Server

Modern data architectures

SSIS (ETL)

Star/Snowflake schemas

T-SQL

Education

Bachelor's or master's degree in Computer Science or equivalent experience

Job description

Keystone Solutions is seeking a Senior BI Data Engineer to design, develop, and maintain the data platform at a client site. You will build reliable, scalable data solutions to support reporting and data-driven decisions.

Responsibilities include ETL/ELT development, data integration, and data modeling (Kimball) across on-premises and cloud environments. Collaboration with BI developers is key, with a focus on performance, documentation, and best practices.