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 (Delta Lake, Python, Apache Spark).

Context

The Data Office is the cornerstone of all data-related activities within NIHDI (INAMI-RIZIV). You will join one of the multi-disciplinary agile teams consisting of data engineers, reporting experts, data functional analysts, project managers, data architects, data quality experts, and AI specialists.

The data engineer sits within the central Data Office. He/she works in an agile scrum team in close collaboration with the Project Leader, the Data Functional Analyst, and the Data Architect of the project.

Roles & Responsibilities

• Design, build, deploy, and maintain BI solutions according to established standards (data ingestion, data warehouse, data marts) in accordance with the 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 for requested projects 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.

Technical Skills

• Bachelor or Master degree in Computer Science or equivalent through experience.

• Minimum 3 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) and Delta Lake

• Minimum 2 years of experience as a data engineer with Azure Databricks & Python

• Very good knowledge of Python (from a data engineer perspective), pandas, and Apache Spark.

• Good experience in data warehouse design (Kimball dimensional modelling)

• Experience 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

• Likes to learn and open-minded

What we offer:

An interesting job in the realization of SDO (ICT) and Data services that has an impact on society, with many advantages: a good work-life balance, 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, …