Hybrid Data Scientist & Engineer for Production ML

TechNET; Brussel; Hybrid; EUR 70,000 - 110,000; Full time

Job summary

TechNET is seeking an experienced Data Scientist & Data Engineer for a hybrid contract in Brussels. You will own the full data lifecycle from exploration to production-ready delivery, leveraging Python, ML, and data engineering practices across large-scale datasets.

You will build scalable ETL/ELT workflows, with cloud-based processing and geospatial analytics, delivering dashboards and insights to technical stakeholders and partners.

Qualifications

• Master's degree or equivalent in Data Science, CS, AI, Mathematics or related field.
• Proven experience with data science and data engineering.
• Strong project experience delivering production-ready ML solutions.

Responsibilities

• Analyse and transform large, complex datasets from multiple sources.
• Design scalable data pipelines using Python and modern data engineering practices.
• Build, test and optimise ML models including supervised/unsupervised learning.
• Perform statistical analysis, time-series modelling and anomaly detection.
• Work with geospatial data and location-based analytics.
• Develop ETL/ELT workflows and improve data quality.
• Transform PoC models into production-ready solutions.
• Utilise cloud technologies for data processing, storage and deployment.
• Develop dashboards and visualisations to communicate findings.
• Collaborate with engineering teams and external partners to deliver data-driven solutions.

Skills

Python

Data engineering

Machine learning

SQL

Cloud

Geospatial analytics

Software engineering

Data visualization

IoT / telemetry

Time-series analysis

Deep learning

Computer vision

Generative AI

Distributed data processing

NoSQL databases

Productionalization

Education

Master's degree or equivalent in Data Science/CS/AI/Mathematics

Tools

pandas

NumPy

scikit-learn

GeoPandas

Git

Docker

AWS

Job description

TechNET is seeking an experienced Data Scientist & Data Engineer for a hybrid contract in Brussels. You will own the full data lifecycle from exploration to production-ready delivery, leveraging Python, ML, and data engineering practices across large-scale datasets.

You will build scalable ETL/ELT workflows, with cloud-based processing and geospatial analytics, delivering dashboards and insights to technical stakeholders and partners.