Technical Data Analist

Il y a 3 jours

Brussel, Belgique V-IT Cronos Temps plein

The Technical Data Analyst contributes to the design, implementation, and industrialization of data solutions within the ICT DATA team to meet the business requirements of Customs & Excise. The ICT DATA team also acts as a Python competency center for the pillar.

Mandatory Requirements :

  • Python Development
  • Python 3.x
  • FastAPI ou Flask
  • SQLAlchemy
  • REST APIs
  • Packaging Python (pip, poetry or uv)
  • Unit and Integration Testing

Data Engineering & Analytics

  • Design, development and maintenance of Data Pipelines
  • Advanced SQL
  • Experience with Pandas
  • Analysis of complex database structures
  • Technical database analysis and reverse engineering
  • Ability to understand business concepts embedded in data
  • Ability to collaborate with Data Architects on the design of analytical data models  (datamarts, report tables,…)
  • Query performance tuning and optimization
  • Experience with at least one reporting or Business Intelligence tool (Power BI, Cognos, Tableau, Qlik, etc.)

DevOps & Platform

  • GitLab
  • GitLab CI/CD
  • Docker
  • Kubernetes
  • Deployment, operation and maintenance of Python data pipelines on containerized environments
  • Monitoring and troubleshooting of deployed workloads

General Development

  • Technical documentation
  • Agile development practices
  • Strong analytical and problem-solving skills

Nice to Have :

  • Knowledge of DB2
  • Experience with OpenShift
  • Experience with Elasticsearch / ELK
  • Experience with AI-assisted development tools

Key Expectations

The candidate must be able to:

  • Communicate effectively with business stakeholders and translate business requirements into technical solutions.
  • Analyse databases and understand the underlying business concepts.
  • Collaborate with Data Architects to design analytical data models.
  • Develop, deploy and maintain Python Data Pipelines on containers through CI/CD processes.
  • Contribute to the industrialization, reliability and scalability of enterprise data solutions.

Languages

  • French or Dutch, combined with a good command of English (mandatory)
  • Knowledge of the other national language is considered an asset