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Data engineer/scientist

Nivelles
Laco Information Services
Publiée le 1 mars
Description de l'offre

Build data platforms AND intelligent solutions that make a real impact


We’re looking for a Medior Data Engineer / Scientist to join us on an exciting client project — someone who enjoys combining data engineering with advanced analytics & AI.


Why this role stands out


* Work on modern Azure data platforms & real-time solutions
* Combine data engineering + data science in one impactful role
* Build solutions that directly influence business decisions
* Collaborate with a multidisciplinary team (engineers, scientists, developers)
* Enjoy hybrid flexibility, a 40h week & 32 days off
* Grow fast in a learning-driven, supportive environment
* Open to both permanent & freelance talent


What you’ll be doing


* Designing and optimizing scalable ETL pipelines & data workflows in Azure
* Building and maintaining CI/CD pipelines in Azure DevOps
* Applying DevOps best practices (automation, testing, deployment, monitoring)
* Analyzing complex datasets to uncover insights & trends
* Developing machine learning models & predictive solutions
* Working with Python, PySpark & Azure ML services
* Visualizing data and translating insights into clear business value
* Collaborating with stakeholders to shape data-driven strategies


Who you are


* 3+ years of experience as a Data Engineer / Data Scientist (or similar)
* Strong experience with ETL pipelines & data workflows
* Hands-on with Python & PySpark for large-scale processing
* Solid experience in the Microsoft Azure ecosystem
* Familiar with real-time data architectures
* Strong analytical mindset with a passion for solving real problems


Your skill set


* ETL design & optimization
* Azure data architecture
* Real-time data processing
* Machine learning & statistical analysis
* Data wrangling & feature engineering


💬 Don’t tick every box? No problem — we’d still love to hear from you.


Ready to work on data AND AI solutions that truly matter?

Apply now or send us a message — let’s connect.

#DataEngineering #DataScience #Azure #MachineLearning #Hiring #TechJobs

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