Job Title: Data Engineer / ML Ops
Level: Intermediate / Senior
Location: Belgium
Employment Type: Full-time
Role Overview
We are looking for a Data Engineer / ML Ops professional to design, build, and operate robust data pipelines and machine learning operations within a modern Data & Analytics ecosystem. The role combines strong data engineering foundations with ML Ops practices to support scalable, production-ready analytics and ML solutions.
Key Responsibilities
* Design, develop, and maintain data transformation pipelines using certified transformation tools
* Implement and support ML Ops pipelines for model deployment, monitoring, and lifecycle management
* Work with SAS DI Studio for data integration and transformation activities
* Develop data processing and automation components using Python
* Ensure data quality, reliability, performance, and scalability of data pipelines
* Collaborate with data scientists, analysts, architects, and platform teams
* Support CI/CD practices for data and ML workloads
* Monitor and troubleshoot data pipelines and ML models in production
* Contribute to platform modernization and continuous improvement initiatives
Required Experience & Skills
* Intermediate to Senior experience in Data Engineering and/or ML Ops
* Certification in a data transformation tool (mandatory)
* Hands-on knowledge of SAS DI Studio
* Strong programming skills in Python
* Solid understanding of data modeling, ETL/ELT, and pipeline orchestration
* Experience with ML lifecycle management (deployment, monitoring, versioning)
Language Requirements
* At least one of the following languages:
* Dutch (NL)
* French (FR)
* English (EN)
* Professional working proficiency in the selected language
Nice to Have
* Experience with cloud-based data platforms
* Familiarity with containerization and orchestration (Docker, Kubernetes)
* Experience in regulated environments (banking, insurance, public sector)
* Knowledge of DevOps or DataOps practices
Why Join
* Work on modern data and ML platforms with real business impact
* Opportunity to combine data engineering and ML Ops in a mature D&A environment
* Flexible, multilingual Belgian work context
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