Platform Engineer

Onesource Consulting
Brussels, Belgium
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Brussels, Belgium

Tech stack

Artificial Intelligence
Data analysis
Azure
Cloud Computing
Continuous Integration
Python
Machine Learning
Cloud Services
Standard Sql
Data Ingestion
GIT
Containerization
Data Lake
AI Platforms
PySpark
Kubernetes
Data Analytics
Machine Learning Operations
Terraform
Data Pipelines
Docker
Databricks

Job description

  • 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.

Requirements

  • 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

Apply for this position