Senior Data Engineer — Health Data on Azure Databricks

keystone-solutions; Brussel Hoofdstad; Hybride; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Flexible hours

Teleworking 3 days/week

Company restaurant

Parking for car

Bike parking

Locker

Public transport access

40-hour week

Résumé du poste

Keystone Solutions is seeking a Senior Data Engineer to work on a client site, focused on building a modern data platform with a data validation engine and a master data hub using Azure Databricks and DevOps practices. The role requires 7+ years of experience in the Microsoft BI stack and strong Python skills.

The consultant will develop REST connectors, implement data quality controls, and work in an agile environment with a pragmatic delivery approach.

Qualifications

• Expert level data engineering skills with attention to data quality.
• Experience with data validation and master data management.
• Strong Python programming and Databricks proficiency.
• Knowledge of REST API design and integration is a plus.
• Familiarity with SQL Server in a development context.

Responsabilités

• Perform functional analysis of data requirements for the project.
• Design, build and deploy a data hub connected to master data sources.
• Develop and maintain REST interfaces and connector services.
• Contribute to a data validation engine to ensure data quality.
• Test, troubleshoot, and document the solution; provide demos and training.

Connaissances

Data engineering

Data validation

Databricks

Master Data Management

Python

REST API

SQL Server

Formation

Master's degree in Computer Science

Outils

Databricks

SQL Server

Description du poste

Keystone Solutions is seeking a Senior Data Engineer to work on a client site, focused on building a modern data platform with a data validation engine and a master data hub using Azure Databricks and DevOps practices. The role requires 7+ years of experience in the Microsoft BI stack and strong Python skills.

The consultant will develop REST connectors, implement data quality controls, and work in an agile environment with a pragmatic delivery approach.