Context

The Data Office is the cornerstone of all data related activities within NIHDI (INAMI-RIZIV). You will join one of our multi-disciplinary agile teams consisting of data engineers, reporting experts, data functional analysts, project managers, data architects, data quality experts, and AI specialists. Together we turn Belgian healthcare data into insights that support policy, appropriate care, and medical control decisions with a real societal impact.

Roles & Responsibilities

• Design, build, deploy and maintain BI solutions (data ingestion, data warehouse, data marts) according to established standards and to functional and non-functional requirements (performance, data volume), in collaboration with the Technical Lead and the Data Architects.
• Test the analytics solution, conduct troubleshooting, provide maintenance and adequate technical documentation.
• Create visualizations and reports in Power BI or SSRS.
• Conduct prototype reviews and demos including training on the data model to the business users.
• Work with the Project Leader along the entire project lifecycle to ensure appropriate delivery in an agile and pragmatic approach.
• Support the organization in its transition to using Databricks.

Technical Skills

• Master degree in Computer Science or equivalent through experience.
• Minimum 7 years of experience as a Data Engineer in the Microsoft BI stack (Visual Studio, SSIS, SSAS, SSMS, SSRS, Power BI, SQL Server from a development perspective).
• Experience in Azure Databricks & Python is a plus.
• Good experience in data warehouse design (Kimball dimensional modelling).
• Experience in working in an agile project mode is a plus.

Profile

• Good technical skills.
• Strong data literacy.
• Can-do attitude with strong sense of ownership and autonomy.
• Strong problem-solving, pragmatic approach and delivery focus.
• Team player, perseverant, stress-resistant and flexible.
• Eager to learn and open-minded.
• Mother tongue: Dutch or French with passive knowledge of the second national language.

Job description summary

As a Data Engineer you will be in charge of developing analytical solutions (data warehouses and data marts) under Kimball methodology using the Microsoft stack (SSIS / SSAS) and Azure Databricks.

What we offer

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 the 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.
• …