Data Analytics Engineer JP055109

ITProposal; Brussel Hoofdstad; Hybride; EUR 108 000 - 181 000; Plein temps

Résumé du poste

ITProposal in Brussels is seeking a Data Analytics Engineer to drive data engineering, analytics and reporting using SQL, Power BI and modern data platforms.

You will design and maintain data pipelines, integrate an EDW with Data Vault 2.0 and a cloud Medallion architecture, analyse data, ensure quality and deliver KPI-based reporting in an Agile setup.

Qualifications

• We are seeking a hands-on Data Analytics Engineer with proven experience in analytics engineering and Power BI business analysis.
• A Master’s degree is required, and fluency in Dutch, French and English is expected.
• Extensive experience with Data Vault 2.0 modelling, data warehousing and modern data platforms is essential.

Responsabilités

• Design, build and maintain robust data pipelines.
• Support ingestion from multiple sources into a hybrid data platform.
• Work with an on-prem EDW using Data Vault and a cloud platform using Medallion Architecture.
• Perform data analysis, modelling and transformation.
• Ensure data quality and optimise pipeline performance.
• Collaborate with stakeholders to define KPIs for reporting and implement data models and reporting solutions.
• Contribute to data migration and integration initiatives and work in an Agile environment.

Connaissances

SQL

Power BI

dbt

Data Vault 2.0

Dimensional Modelling

ETL pipelines

Data Warehousing

Microsoft Fabric

Databricks

DAX

Python

Jinja

Azure DevOps

Data Migration

Agile ways of working

Formation

Master's degree

Outils

Databricks

Microsoft Fabric

Azure DevOps

Description du poste

Data Analytics Engineer | Data Engineering, Power BI & Modern Data Platforms | Brussels

We are looking for an experienced Data Analytics Engineer with proven hands‑on experience delivering complex data projects.

In this role, you will be involved throughout the entire data lifecycle — from data analysis and modelling to workflow orchestration, data quality monitoring and performance optimisation.

Key Responsibilities

• Design, build and maintain robust data pipelines.
• Support the ingestion of data from multiple source systems into a hybrid data platform.
• Work with both:
  • An on‑premises Enterprise Data Warehouse (EDW) based on Data Vault methodology
  • A cloud‑based data platform using a Medallion Architecture
• Perform data analysis, modelling and transformation.
• Ensure data quality and optimise data pipeline performance.
• Work with stakeholders to identify and define meaningful KPIs for reporting.
• Implement KPIs, data models and reporting solutions.
• Contribute to data migration and integration initiatives.
• Work pragmatically within an Agile environment.

Required Skills & Experience

We are looking for a strong Data Analytics Engineer with hands‑on experience in:

• SQL – Expert level
• Power BI – Expert level
• dbt
• Data Vault 2.0
• Dimensional Modelling / Kimball
• ETL pipelines and data mapping
• Enterprise Data Warehousing
• Microsoft Fabric
• Databricks
• DAX
• Python
• Jinja
• Azure DevOps
• Data Migration
• Agile ways of working

You should also have recent, proven experience as both an Analytics Engineer and a Power BI Business Analyst.

Preferred Certifications

The following certifications are highly desirable:

• Microsoft Fabric Analytics Engineer Associate
• Microsoft Power BI Data Analyst
• Azure Fundamentals
• Collibra Data Steward Learning Path
• dbt Fundamentals
• Scrum Product Owner

A Master's degree is also required.

Languages

Dutch – Active knowledge
French – Active knowledge
English – Active knowledge

Contract Details

Location: Brussels, Belgium
Work model: Hybrid
Start date: 7 September 2026
End date: 31 December 2026
Duration: 4 months
Workload: Full‑time
Daily rate: €750–€980

Important Application Requirement

Along with the CV, candidates must provide an answer explaining how they have previously identified which KPIs were important for reporting and how they implemented those KPIs. Applications without an adequate response may not be considered.

If you have strong expertise in Data Engineering, Analytics Engineering, SQL, Power BI, dbt, Data Vault 2.0, Kimball modelling and modern data platforms, we would like to hear from you.