Data Engineer

Summary

The primary function of the Data Engineer role is to design, develop, and maintain scalable data pipelines on the Databricks platform to facilitate the energy transition for retail customers in Belgium. This role supports the implementation of the Databricks platform within an AWS environment, enabling efficient data processing for various projects.

Main Responsibilities

Core duty description: manage and optimize data processes to support various business projects.

• Design, develop, and maintain scalable data pipelines on the Databricks platform.
• Manage data ingestion processes from various sources into the Databricks environment.
• Implement and optimize ETL (Extract, Transform, Load) processes to ensure efficient data transformation and integration.
• Ensure data quality, integrity, and security across all data pipelines.
• Monitor and troubleshoot data pipeline performance, implementing necessary maintenance and updates.
• Document data pipeline processes, technical specifications, and best practices.
• Conduct knowledge transfer to the Data Engineer team responsible for managing the platform in the future.

Key Requirements

• Strong skills in SQL and relevant programming languages, such as Python.
• Proven expertise in Databricks and AWS services.
• Kimball modeling expertise in Databricks to support BI activities.
• Analytical mindset with attention to detail.
• Strong communication and collaboration skills.

Nice to Have

• Experience in data warehouse or lakehouse projects.
• Additional programming languages beyond SQL and Python.
• Experience with data quality management tools.

Other Details

• Reporting to a Project Lead and a Tech Lead/Data Architect.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.

Experience

• Minimum 3 years in SQL and data warehousing, and 2 years with Databricks.

Languages

• Fluent in Dutch or French and English.