Senior Data Engineer (Azure & Databricks) - Dutch speaking

IT Azure Senior Data Engineer

This is how your job looks like

• You are part of the IT Data & AI Team and play a key role in shaping, implementing, and enhancing the Data Lake using Azure Databricks

• Source Integration: Establish connections to diverse systems via APIs, ODBC, Event Hubs, and sFTP protocols.

• ETL/ELT Pipelines: Design and optimize data pipelines using Azure Data Factory and Databricks

• Medallion Architecture: Implement Bronze, Silver, and Gold layers using formats like Delta, Parquet, and JSON for data transformation.

• Data Modeling: Develop and optimize data models using star schema and slowly changing dimensions for analytics and operations.

• Data Governance: Ensure robust data security with Role-Based Access Control (RBAC) and Unity Catalog.

• Performance Optimization: Tune pipelines, optimize queries, and implement CI/CD pipelines using Azure DevOps.

• Collaboration: Work closely with data scientists, IT team, and business stakeholders to deliver end-to-end solutions. As Azure Sr. Data Engineer you'll collaborate with their partners and BME, the parent company, and play a pivotal role in driving the digital transformation.

The experience and knowledge you bring

• Experience: At least 5+ years as an Azure Data Engineer.

• Technical Expertise:

• Proficiency with Azure Data Factory, Databricks and Azure Storage.

• Strong skills in SQL, Python, and data modelling techniques.

• Familiarity with data formats like Parquet and JSON.

• Experience with AI/ML model management on Azure Databricks.

• Education: Bachelor's degree in IT, Computer Science, or a related field.

• Microsoft Certified: Azure Data Engineer Associate

• Language Skills: Fluency in Dutch and English is mandatory. French is a plus.

• Knowledge of PowerBI is a plus.

The key competences we are looking for

• Analytical mindset with attention to detail.

• Pragmatic and customer-oriented approach to problem-solving.

• Strong collaboration and communication skills.

• Enthusiasm for technology and data-driven innovation.

Practical Considerations:

• Availability: Full-time.

• Duration: Initial contract of 6 months, with the possibility of extension into a long-term assignment.

• Location: Onsite presence in Herentals for 3 days per week, 2 days from home.