Data Analytics Engineer - Hybrid, Databricks & Power BI

ITproposal; Brussel; Hybride; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Professional development

Flexible schedule

Résumé du poste

ITproposal is seeking an experienced Data Analytics Engineer to design, build, and optimize data solutions across the full data lifecycle. You will work with large-scale data platforms, develop robust data pipelines, and deliver high-quality analytics and reporting.

Join our Brussels-based hybrid team to design pipelines, model data with SQL and dbt, ingest from multiple sources into Databricks, and deliver executive dashboards in Power BI while ensuring data quality and governance.

Qualifications

• Master's degree in a relevant field.
• Experience designing and implementing data pipelines and dashboards.
• Knowledge of data modeling, analytics, and governance.

Responsabilités

• Design, develop, and maintain scalable data pipelines and workflows.
• Build and optimize data models using SQL, dbt, and Kimball dimensional modeling.
• Ingest and transform data from multiple sources into a Databricks data platform.
• Develop dashboards and executive reports using Power BI.
• Ensure data quality, governance, monitoring, and performance optimization.
• Collaborate with business and technical stakeholders to define KPIs.
• Work in an Agile environment and contribute throughout the data lifecycle.

Connaissances

Data modeling

Data analytics

Git/version control

Python scripting

Formation

Master's degree

Outils

Databricks

Power BI

dbt

SQL

Microsoft Fabric

Airbyte

Tableau

SAS

Description du poste

ITproposal is seeking an experienced Data Analytics Engineer to design, build, and optimize data solutions across the full data lifecycle. You will work with large-scale data platforms, develop robust data pipelines, and deliver high-quality analytics and reporting.

Join our Brussels-based hybrid team to design pipelines, model data with SQL and dbt, ingest from multiple sources into Databricks, and deliver executive dashboards in Power BI while ensuring data quality and governance.