Brussels: Python Data Pipelines & BI Analyst

Next Engineering; Brussel Hoofdstad; Sur place; EUR 50 000 - 85 000; Plein temps

Résumé du poste

Next Engineering is seeking a NEXT Technical Data Analyst to design, develop and maintain Python data pipelines and analytics solutions. You will translate business needs into scalable technical architectures and collaborate with Data Architects on analytical data models.

You will deploy pipelines in containerized environments using GitLab CI/CD, Docker and Kubernetes, and work with Python frameworks such as FastAPI or Flask, SQLAlchemy and Pandas.

Qualifications

• Strong experience with Python 3.x, FastAPI or Flask, SQLAlchemy, REST APIs, Python packaging, Pandas and Advanced SQL
• Experience with Data Pipelines, complex database structures, technical database analysis, reverse engineering and query performance optimization
• Experience with GitLab, CI/CD, Docker, Kubernetes, unit/integration testing and at least one BI/reporting tool such as Power BI, Tableau, Qlik or Cognos
• French or Dutch combined with a good command of English is mandatory; knowledge of the other national language is an asset
• Knowledge of DB2, OpenShift, Elasticsearch/ELK and AI-assisted development tools is a plus

Responsabilités

• Design, develop and maintain Python data pipelines and data solutions
• Translate business requirements into technical solutions and collaborate with Data Architects on analytical data models
• Develop and deploy Python data pipelines on containerized environments through GitLab CI/CD, Docker and Kubernetes

Connaissances

Python 3.x

FastAPI or Flask

SQLAlchemy

REST APIs

Python packaging

Pandas

Advanced SQL

Data Pipelines

Query optimization

GitLab

CI/CD

Docker

Kubernetes

Unit testing

Integration testing

Outils

Power BI

Tableau

Qlik

Cognos

OpenShift

Elasticsearch/ELK

Description du poste

Next Engineering is seeking a NEXT Technical Data Analyst to design, develop and maintain Python data pipelines and analytics solutions. You will translate business needs into scalable technical architectures and collaborate with Data Architects on analytical data models.

You will deploy pipelines in containerized environments using GitLab CI/CD, Docker and Kubernetes, and work with Python frameworks such as FastAPI or Flask, SQLAlchemy and Pandas.