Platform Engineer

Job Title: Data and Platform Engineer

Language: English

Location: Brussels, Belgium

Duration: 13/07/2026 - 30/04/2027

Job description:

Data & Platform Engineer

• The Advanced Analytics team at CLIENT is looking for a Data & Platform Engineer to help build and scale the next generation of our Data Science & AI platform.
• You will play a key role in designing, developing, and maintaining the data foundations that power analytics, machine learning, and AI solutions across the organisation.
• This role is perfect for an engineer who loves building robust data pipelines, enabling data teams, and shaping a modern data & AI stack.

What You’ll Do

Platform Engineering

• Develop and maintain CLIENT’s Data Science & AI platform, enabling experimentation, deployment, and monitoring of ML workloads.
• Integrate best practices in MLOps, CI/CD for data products, and scalable infrastructure.

Data Ingestion & Transformation

• Build and optimize data ingestion pipelines, ensuring reliability, quality, and security.
• Develop transformations and data models supporting analytics and advanced use cases.
• Collaborate with data scientists to productionize and operationalize features and datasets.

Collaboration & Enablement

• Work closely with Data Scientists, Analysts, and Architects to enable high-quality, reusable data assets.
• Ensure platform usability, documentation, and continuous improvement.

Conformity Criteria

• 3 years or more of experience in data and platform engineering
• Proven expertise in cloud services for industrialized data analytics project.
• Proven expertise in Databricks (core runtime, jobs, workflows, Delta Lake).
• Proven experience with Infrastructure-as-Code (Terraform preferred).
• Fluent in English
• You can come to the office on Tuesday and Thursday

Evaluation criteria

• PySpark and python skills
• Level of experience is seting up AI and Data Science platform
• Communication skills
• knowledge of:
• Python
• SQL
• Git, CI/CD
• Cloud platforms (Azure is an asset)
• Containerisation principles (Docker/K8s)

SKills

• 3 years or more of experience in data and platform engineering
• Fluent in English
• Proven experience with Infrastructure-as-Code (Terraform preferred).
• Proven expertise in cloud services for industrialized data analytics project.
• Proven expertise in Databricks (core runtime, jobs, workflows, Delta Lake).
• You can come to the office on Tuesday and Thursday