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.
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