Data Engineer – PowerBI & Azure

Pauwels Consulting; West-Vlaanderen; Hybride; EUR 75 000 - 95 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Résumé du poste

Pauwels Consulting is seeking a Data Engineer to join their dedicated data and analytics team. The role focuses on developing out-of-the-box data solutions and robust reporting frameworks to meet complex business needs.

The position involves designing data models, building ETL pipelines on a modern cloud stack, and delivering impactful Power BI reports that enable end users to act on insights. A hybrid setup in Bruges is offered, with 2 days onsite, and collaboration across analysts and

Qualifications

• 5+ years of data engineering with SQL and Python (PySpark).
• 5+ years with Power BI, including DAX and data modeling.
• Hands-on with Azure data services: Data Factory, Synapse, Data Lake Gen2.
• Extensive Databricks and Delta Lake experience.
• Proficient in Azure DevOps and Git for CI/CD and sprint workflows.
• dbt data transformations experience.
• Terraform for IaC.
• Knowledge of Azure Spring Apps and containerization.
• Proactive team player with strong analytical and communication skills.
• Fluent in Dutch.

Responsabilités

• Design and implement data models for diverse business segments, ensuring optimal architecture of dimensions and facts.
• Develop, maintain, and optimize ETL processes using a modern cloud-based stack.
• Create high-impact Power BI reports and dashboards that deliver clear value to end-users.
• Collaborate closely with analysts and controllers to translate business requirements into technical data solutions.
• Support and mentor internal colleagues in the development of self‑service BI reporting.
• Drive continuous improvement in system performance, data security, and functional quality.

Connaissances

SQL

Python (PySpark)

Power BI

DAX

Data modeling

Semantic layer design

CI/CD

dbt

Terraform

Azure

Dutch language

Outils

Azure Data Factory

Azure Synapse

Azure Data Lake Storage Gen2

Databricks

Delta Lake

Git

Azure DevOps

dbt

Terraform

Unity Catalog

Description du poste

Our client, a leading organization in the professional services sector, is looking for a Data Engineer to join their dedicated data and analytics team. The role focuses on developing out-of-the-box data solutions and robust reporting frameworks to meet complex business needs.

Responsibilities

• Design and implement data models for diverse business segments, ensuring optimal architecture of dimensions and facts.
• Develop, maintain, and optimize ETL processes using a modern cloud-based stack.
• Create high-impact Power BI reports and dashboards that deliver clear value to end-users.
• Collaborate closely with analysts and controllers to translate business requirements into technical data solutions.
• Support and mentor internal colleagues in the development of self‑service BI reporting.
• Drive continuous improvement in system performance, data security, and functional quality.

Requirements

• 5+ years of experience in data engineering with SQL and Python, specifically PySpark.
• 5+ years of experience with Power BI, including DAX, data modeling, and semantic layer design.
• Hands‑on experience with Azure services including Azure Data Factory, Synapse Pipelines, and Azure Data Lake Storage Gen2.
• Extensive knowledge of Databricks and Delta Lake for transformation and compute layers.
• Proficiency with Azure DevOps and Git for CI/CD, repository management, and sprint workflows.
• Experience with data transformation using dbt.
• Experience with Infrastructure as Code using Terraform.
• Knowledge of Azure Spring Apps and containerization techniques.
• You are a proactive team player with strong analytical and communication skills.
• You are fluent in Dutch.

Nice to Haves

• Experience with Unity Catalog for data governance.
• Familiarity with Azure Active Directory or Entra ID within a security‑focused environment.

Offer

• Start date: ASAP.
• Work regime: Full‑time.
• Location: Bruges.
• Working model: Hybrid (2 days per week onsite).
• Contract: Open to both permanent employees and freelancers.