Data Analytics Engineer - Hybrid (Brussels)

ITProposal; Brussel Hoofdstad; Hybride; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Hybrid working

Résumé du poste

ITProposal is seeking an experienced Data Analytics Engineer to drive end-to-end data lifecycle work, from analysis and modelling to pipeline development and optimization.

You will design robust data pipelines, ingest data into a hybrid data platform, and work with EDW architectures using Data Vault 2.0 and Medallion Architecture, leveraging SQL, Python, and Databricks. Strong collaboration with stakeholders in a hybrid setup is expected.

Qualifications

• 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 such as Fabric Analytics Engineer Associate, Microsoft Power BI Data Analyst, Azure Fundamentals, dbt Fundamentals, or Collibra Data Steward are a plus.
• Good communication skills in Dutch, English, and French.

Responsabilités

• Design, build, and maintain robust data pipelines.
• Develop data ingestion processes from various source systems into a hybrid data platform.
• Work with on-premises Enterprise Data Warehouse (EDW) using Data Vault 2.0 and cloud platforms using Medallion Architecture.
• Develop and optimize data models using Kimball dimensional modelling.
• Build and maintain data transformations using dbt, SQL, and Jinja.
• Work with Microsoft Fabric, Databricks, and Power BI.
• Support data quality, governance, workflow orchestration, and performance optimization.
• Collaborate with business stakeholders to identify relevant KPIs and reporting requirements.
• Work pragmatically within an Agile environment.

Connaissances

SQL

Power BI

DAX

dbt

Kimball modelling

Data Vault 2.0

Databricks

Python

Azure DevOps

ETL pipelines

Data migration

Data mapping

Microsoft Fabric

Dutch

English

French

Agile/Scrum

Formation

Master's degree

Outils

Azure DevOps

Databricks

Microsoft Fabric

Description du poste

ITProposal is seeking an experienced Data Analytics Engineer to drive end-to-end data lifecycle work, from analysis and modelling to pipeline development and optimization.

You will design robust data pipelines, ingest data into a hybrid data platform, and work with EDW architectures using Data Vault 2.0 and Medallion Architecture, leveraging SQL, Python, and Databricks. Strong collaboration with stakeholders in a hybrid setup is expected.