Data Scientist

Engineering International Belgium; Italia; On-site; EUR 90,000 - 130,000; Full time

Job summary

Engineering International Belgium is seeking an experienced Data Scientist to contribute to data analysis, quantitative modelling and environmental and agricultural data projects in Italy. The role emphasizes MuSIASEM, Python-based ETL pipelines, data warehouse design and dimensional modelling, with interactive dashboards using Power BI and DAX; you will apply LCA and present results to stakeholders.

You will collaborate with cross-functional teams and support integration of AI workflows into

Qualifications

• Master’s degree EQF7 in a relevant field.
• Minimum 10 years of professional IT experience, aside from studies.
• 36 months of MuSIASEM quantitative assessments.
• 12 months of Python experience.
• 6 months of experience with at least one Adobe tool: InDesign, Acrobat or Illustrator.
• English proficiency at C1 level or higher, spoken and written.

Responsibilities

• Conduct quantitative assessments using MuSIASEM and environmental data analysis.
• Analyse European agricultural and bioeconomy datasets, including Eurostat, FAO and CAPRI.
• Design, develop and maintain Python-based data analysis and ETL pipelines.
• Contribute to data warehouse architecture and dimensional modelling.
• Develop interactive data visualisations and dashboards using D3.js, Power BI and DAX.
• Apply quantitative modelling and life cycle assessment (LCA) methodologies.
• Prepare analytical reports, communicate findings and present results to stakeholders.
• Support the integration of AI solutions and databases into data analysis workflows.

Skills

MuSIASEM

Python

Power BI

DAX

D3.js

ETL

Data warehouse

Dimensional modelling

LCA

English (C1+)

Education

Master’s degree (EQF Level 7)

Tools

InDesign

Acrobat

Illustrator

Job description

We are looking for an experienced Data Scientist to contribute to data analysis, quantitative modelling, and environmental and agricultural data projects.

Key Responsibilities

• Conduct quantitative assessments using MuSIASEM and environmental data analysis.
• Analyse European agricultural and bioeconomy datasets, including Eurostat, FAO and CAPRI.
• Design, develop and maintain Python-based data analysis and ETL pipelines.
• Contribute to data warehouse architecture and dimensional modelling.
• Develop interactive data visualisations and dashboards using D3.js, Power BI and DAX.
• Apply quantitative modelling and life cycle assessment (LCA) methodologies.
• Prepare analytical reports, communicate findings and present results to stakeholders.
• Support the integration of AI solutions and databases into data analysis workflows.

Requirements

• Master’s degree (EQF Level 7) in a relevant field.
• Minimum 10 years of professional IT experience, aside from studies.
• 36 months of experience in MuSIASEM quantitative assessments.
• 12 months of Python experience.
• 6 months of experience with at least one Adobe tool: InDesign, Acrobat or Illustrator.
• English proficiency at C1 level or higher, spoken and written.

Additional Expertise

• ETL pipelines, data warehouse architecture and dimensional modelling.
• Power BI, DAX, LCA and quantitative modelling.