Data Engineer

emagine; Brussel Hoofdstad; Sur place; EUR 55 000 - 85 000; Plein temps

Résumé du poste

emagine is seeking a Data Engineer to design, develop, and maintain scalable data pipelines on the Databricks platform in a Belgium-based environment. The role focuses on data ingestion, ETL optimization, and ensuring data quality and security within an AWS context.

The ideal candidate will have strong SQL and Python skills, Databricks expertise, and experience with Kimball modeling. Collaboration with the project team and knowledge transfer are essential parts of the role.

Qualifications

• Strong skills in SQL and Python.
• Proven expertise in Databricks and AWS services.
• K.modal expertise in Databricks to support BI activities (Kimball modeling).
• Analytical mindset with attention to detail.
• Strong communication and collaboration skills.

Responsabilités

• 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.

Connaissances

SQL

Python

Databricks

AWS

Formation

Bachelor's degree in Computer Science/Engineering/Mathematics

Description du poste

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 aims to support the implementation of the Databricks platform within the context of an AWS environment, enabling efficient data processing for various projects.

Main Responsibilities

• 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 (e.g., Python).
• Proven expertise in Databricks and AWS services.
• K.modal expertise in Databricks to support BI activities (Kimball modeling).
• Analytical mindset with attention to detail.
• Strong communication and collaboration skills.

Nice to Have

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

Other Details

• Location: Belgium
• Team Structure: 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.