Data Engineer

Belgium·Brusselsmid

Data EngineerData

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Quick Summary

Key Responsibilities

Design, build, deploy, and maintain BI solutions (data ingestion, data warehouse, data marts) according to established standards and functional/non-functional

Technical Tools

Data EngineerData

Join Keystone Solutions as a Data Engineer on a consultancy mission at a client site. You will be part of a multi-disciplinary agile team that transforms Belgian healthcare data into actionable insights, supporting policy and medical decisions with significant societal impact.

Responsibilities

~1 min read

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

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, 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 modeling).
Experience in working in an agile project mode is a plus.

Good technical skills.
Strong data literacy.
Can-do attitude with a strong sense of ownership and autonomy.
Strong problem-solving skills, 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.

What We Offer

~1 min read

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.

data engineering - Level: Confirmed - Most recent: Any time
Databricks - Level: Junior - Most recent: Any time
Microsoft BI stack (Visual Studio, SSIS, SSAS, SSMS) - Level: Confirmed - Most recent: Any time
Python - Level: Junior - Most recent: Any time
SQL Server - Level: Confirmed - Most recent: Any time