Hybrid Data Analytics Engineer — Power BI & Data Vault

Itproposal; Brussel Hoofdstad; Hybride; EUR 80 000 - 105 000; Plein temps

Résumé du poste

Itproposal in Brussels, Belgium, seeks an experienced Data Analytics Engineer to design and maintain robust data pipelines and optimize performance across the data lifecycle.

You will work with SQL, Power BI, dbt, Python, and Databricks on a hybrid data platform, collaborating with stakeholders to define KPIs. The role operates within an Agile environment and requires strong communication in multiple languages.

Qualifications

• Master's degree or equivalent.
• Proven recent experience as a Data/Analytics Engineer and Power BI Business Analyst.
• Expert knowledge of SQL and Power BI/DAX.
• Strong experience with dbt, Kimball dimensional modelling, and Data Vault 2.0.
• Experience with Microsoft Fabric, Databricks, Python, and Azure DevOps.
• Knowledge of ETL pipelines, data mapping, data migration, and Enterprise Data Warehousing.
• Agile/Scrum experience.
• Relevant certifications are a plus.
• Good communication skills in Dutch, English, and French.

Responsabilités

• Design, build, and maintain robust data pipelines.
• Develop data ingestion processes for a hybrid data platform.
• Work with on-prem Enterprise Data Warehouse using Data Vault 2.0 and cloud platforms.
• Develop data models using Kimball dimensional modelling.
• Build and optimize data transformations using dbt, SQL, and Jinja.
• Work with Microsoft Fabric, Databricks, and Power BI.
• Support data quality, governance, workflow orchestration and performance.
• Collaborate with stakeholders to define KPIs and reporting needs.
• Operate in an Agile environment.

Connaissances

Data analytics

SQL

Power BI/DAX

Agile/Scrum

Communication (Dutch/English/French)

Databricks

Python

Azure DevOps

Formation

Master's degree

Outils

dbt

Kimball dimensional modelling

Data Vault 2.0

Microsoft Fabric

Description du poste

Itproposal in Brussels, Belgium, seeks an experienced Data Analytics Engineer to design and maintain robust data pipelines and optimize performance across the data lifecycle.

You will work with SQL, Power BI, dbt, Python, and Databricks on a hybrid data platform, collaborating with stakeholders to define KPIs. The role operates within an Agile environment and requires strong communication in multiple languages.