Collect business requirements, definition of robust data models and architectures

Design, and build scalable and reliable data pipelines and workflows in cloud environments

Apply DevOps practices, including basic Git workflows and involvement in CI/CD pipelines.

Contribute to maintaining data quality, security, and data governance standards across all data-related activities.

Collaborate with cross-functional teams to ensure data solutions align with business needs and quality standards.

Specification and design of presentation interfaces with optimal usability/user experience

Document processes and tasks to ensure explainability and understanding across the team

Support the integration of AI-based enrichment and transformation processes into existing data pipelines and workflows.

Εxcellent knowledge in Python, Spark and SQL

Εxcellent knowledge in designing and building ETL pipelines using tools such as Azure Synapse, Microsoft Fabric and/or AWS Glue

Εxcellent knowledge of data modelling and database design principles using the Medallion Architecture

Good knowledge of business intelligence tools, notably Microsoft Power BI

Knowledge of Machine Learning, Natural Language Processing and Large Language Models (LLMs) fundamentals

Understanding of Microsoft Power Platform (e.g., Power Automate, SharePoint Lists)

Good knowledge with Microsoft Fabric components (Lakehouses, Pipelines, Dataflows Gen2, Notebooks, Semantic Models)

Good knowledge with cloud environments (AWS or Microsoft Azure)

Understanding of DevOps practices, including Git workflows and CI/CD pipelines with experience using tools such as Azure DevOps, GitHub, and GitLab.

Knowledge with no-code / low-code data science platforms such as KNIME and/or Dataiku.

Familiarity with European Commission IT ecosystem and best practices

Documenting and organising processes using task management tools (e.g., Jira, OpenProject) and documentation platforms (e.g., Confluence, GitLab Wiki, GitHub Wiki).

Business analysis & requirements gathering

Ability to collect, analyse and translate business needs into technical specifications.

Skills in designing conceptual, logical and physical data models.

Ability to extract, transform, load, clean and merge datasets from multiple sources.

Experience with automated workflows and orchestration tools.

Ability to handle large and complex datasets efficiently.

Skills in validating, monitoring, and improving data quality and consistency.

Strong, hands-on coding ability for data processing, analytics, and automation.

Ability to integrate AI and ML techniques into data workflows for enrichment, categorisation and transformation.

User interface and data presentation design

Ability to specify or build user-friendly data visualisation and reporting interfaces.

Ability to clearly document processes and interact with multidisciplinary teams.

Experience working in cross-functional environments and managing dependencies

English

Python

Spark

PowerBI

Machine Learning

MS Power Platform

Azure DevOps Server

Github

JIRA

Our client within the European Institutions is currently looking for a Data Scientist to work on the collection of business requirements, definition of robust data models and architectures and design, and build scalable and reliable data pipelines and workflows in cloud environments.

Public

Data Scientist

Daily rate: €360-€480

Location:

Brussels, Belgium

Apply before:

25/03/2026

Project summary

Languages needed

Main skills

Project description

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