Senior Data Engineer

keystone-solutions; Brussel Hoofdstad; Sur place; 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

Mission Overview

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.

Technical Skills

• 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.

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 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.

Duration

31/08/2026 - 31/12/2026 4 months (full time)

Skills required

• 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

Language requirements

• Dutch – Level Active knowledge
• English – Level Passive knowledge
• French – Level Active knowledge

If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today at Keystone Solutions Career Portal.