Data Engineer

Are you a skilled Data Engineer with a passion for cloud-native technologies? Do you thrive in building scalable and reliable data solutions on Azure? If so, we’d love to meet you!

As a Data Engineer, you will play a key role in designing, developing, and maintaining our enterprise Data Platform. You will work within agile DevOps teams and collaborate with cross-functional stakeholders to deliver high-quality, secure, and efficient data pipelines and storage solutions aligned with our enterprise data strategy and architecture standards.

1. Data Platform Development

• Design, implement, and optimize scalable data storage and processing solutions on Azure (e.g., Azure Data Lake, Azure Data Factory , Azure SQL,, Azure Databrick, Microsoft Fabric).
• Align development efforts with the Data Platform product roadmap and architectural standards.
• Contribute to the evolution of our Data Platform into a robust provider for data consumers, including reporting systems, internal applications, and other analytical services.
• Continuously improve and optimize the Data Platform to ensure peak performance, scalability, and reliability across all data use cases.

2. Data Integration & ETL/ELT

• Develop reliable data ingestion pipelines using Azure Data Factory, Microsoft Fabric, Azure Databricks
• Implement efficient ETL/ELT processes for both batch and streaming data sources.
• Using (T)SQL, interpret & transform data into business ready data stores for analytical use
• Understand, improve & create data models (semantic layer) for use in Power BI

3. Monitoring & Operational Support

• Monitor, troubleshoot, and improve performance of data pipelines and storage systems.
• Implement logging, telemetry, and alerting for proactive system maintenance and operational resilience.

4. DevOps & CI/CD

• Contribute to CI/CD pipelines using tools like Azure DevOps or GitHub Actions.
• Ensure seamless integration of data components within agile product teams.

5. Stakeholder Collaboration

• Work closely with Data Owners, Stewards, Data Architects, BI Analysts, and Governance Leads to ensure consistent application of data standards and policies.

6. Workflow Automation

• Identify and automate recurring data workflows using scripting languages (e.g., Python (PySpark), PowerShell) and Azure-native automation tools (Logic Apps).

7. Data Governance & Quality

• Apply best practices for data security, access control (e.g., Azure Purview, RBAC), and quality checks.
• Ensure compliance with organizational data governance frameworks.

8. Documentation & Standards

• Maintain clear, up-to-date documentation of data pipelines, data models, and architecture decisions.

Ensure alignment with enterprise data architecture standards.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 3+ years of experience as a Data Engineer, preferably in an Azure cloud environment.
• Hands-on experience with Azure tools (Data Factory, Synapse, Databricks, Azure SQL, etc.).
• Experience with DevOps and CI/CD practices.
• Familiarity with data governance, data security, and data quality frameworks.

• Familiarity with reporting tools such as Power BI, Qlik, Tableau, …

   

• A dynamic work environment in a forward-thinking organization.
• Room for innovation, ownership, and personal development.
• Hybrid working possibilities.
• Competitive salary and comprehensive benefits package.
• Access to training, certifications, and development programs in Azure and data engineering.

Interested? Apply now or contact our recruitment team to learn more.