Technical Data Analyst

Yechte Consulting Ltd; Brussel; Sur place; EUR 70 000 - 95 000; Plein temps

Avantages offerts par ce poste

Great team culture

Opportunities to grow

Challenging projects

Résumé du poste

Yechte Consulting Ltd in Brussels invites skilled data engineering professionals to design, develop, and maintain robust Python-based data pipelines in containerized environments.

The role emphasizes advanced SQL, Pandas, and collaboration with Data Architects to craft analytical data models and scalable solutions, with experience in BI tools and CI/CD. Fluency in English plus French or Dutch is preferred.

Qualifications

• Experience designing and maintaining data pipelines with ETL/ELT patterns.
• Strong SQL skills, including complex joins and window functions.
• Experience with Pandas for data analysis and transformation.
• Experience building Python data pipelines in containerized environments.
• Familiarity with CI/CD and version control for data projects.

Responsabilités

• Design, development and maintenance of Data Pipelines.
• Advanced SQL Experience with Pandas.
• Analysis of complex database structures.
• Collaborate with Data Architects to design analytical data models (datamarts, report tables, etc).
• Query performance tuning and optimization.
• Experience with BI tools (Power BI, Cognos, Tableau, Qlik, etc.).
• Deployment, operation and maintenance of Python data pipelines on containerized environments.
• Monitoring and troubleshooting of deployed workloads.
• Agile development practices.
• Strong analytical and problem-solving skills.

Connaissances

Data Pipelines

SQL

Pandas

Python

Docker

Kubernetes

OpenShift

Power BI

REST APIs

SQLAlchemy

CI/CD

Outils

GitLab

GitLab CI/CD

Docker

Kubernetes

OpenShift

Elasticsearch

Power BI

Cognos

Tableau

Qlik

Description du poste

Job Responsibilities

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.) GitLab GitLab CI/CD Docker Kubernetes Deployment, operation and maintenance of Python data pipelines on containerized environments Monitoring and troubleshooting of deployed workloads Technical documentation Agile development practices Strong analytical and problem-solving skills Python Development Python 3.x FastAPI or 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 to design 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

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) Nice to have Knowledge of DB2 Experience with OpenShift Experience with Elasticsearch / ELK Experience with AI-assisted development tools Knowledge of the other national language (Dutch/French) is considered an asset

What’s great in the job?

• Great team of smart people, in a friendly and open culture Expand your knowledge of various business industries Create content that will help our users on a daily basis Real responsibilities and challenges in a fast evolving company