Senior Data Engineer

Keystone Solutions is seeking a Senior Data Engineer for a consultancy mission at a client site. The client is working on a modern data platform to share high-quality health-related information. As a Data Engineer, you will play a key role in developing various components of this data platform, including a data validation engine and a master data hub, utilizing Azure Databricks and DevOps practices.

Roles & Responsibilities:

• Perform functional analysis of the project's data requirements.
• Design, build, and deploy a data hub connected to several referentials and master data sources, including specific CRUD and data transformation functionalities.
• Develop and maintain REST interfaces and connector services supporting data exchange, configuration, validation, and integration with the data platform.
• Participate in the development of a data validation engine solution to check data quality of different external data sources.
• Test the developed solution, conduct troubleshooting, provide maintenance, and adequate technical documentation.
• Conduct prototype reviews and demos, including training for users.
• Work with the Project Leader throughout the project lifecycle to ensure appropriate delivery in an agile and pragmatic approach.

• Master's degree in Computer Science or equivalent experience.
• Minimum 7 years of experience as a Data Engineer in the Microsoft BI stack (Visual Studio, SSIS, SQL Server from a development perspective).
• Data functional analysis experience.
• Good experience in Azure Databricks & Python.
• Experience in REST API is a plus.
• Experience with data analytics design (Kimball dimensional modeling).
• Experience in master data management and data quality controls is definitely a plus.
• Experience in working in an agile project mode is a plus.

Profile:

• Good technical skills.
• Strong data literacy.
• Can-do attitude with a strong sense of ownership and autonomy.
• Strong problem-solving, pragmatic approach, and delivery focus.
• Team player with the ability to work in a collaborative spirit within a transversal organization.
• Eager to learn and open-minded.
• Mother tongue: Dutch or French with passive knowledge of the second national language., * data engineering - Level: Expert - Most recent: Any time
• Data validation / Data Quality - Level: Junior - Most recent: Any time
• Databricks - Level: Confirmed - Most recent: Any time
• Master Data Management (MDM) - Level: Junior - Most recent: Any time
• Python - Level: Confirmed - Most recent: Any time
• REST API - Level: Junior - Most recent: Any time
• SQL Server - Level: Confirmed - Most recent: Any time

An interesting job in the realization of Data services that has an impact on society, with many advantages:

• A good work-life balance with flexible working hours within a 40-hour week (7:30 a.m. to 8 p.m. with fixed slots between 9 a.m. and 12 p.m. and 1 p.m. and 4 p.m.).
• Possibility of teleworking (3 days/week).
• Workspaces organized according to activities.
• Easy accessibility via public transport.
• Car and bike parking in the building.
• Individual locker.
• Company restaurant.