Data Scientist

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Data Scientist to join our UniQue team in Brussels.

What will you be doing in this role?

• 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.

Requirements

What will you be bringing to the team?

• Bachelor's degree in Data Management (or relevant) & 17 years of experience OR Master's degree related to Data Management and 13 years of experience (experience cannot overlap with studies).

• Holding a Microsoft Azure Data Engineer Associate or Fabric Analytics Engineer certification is considered asset.

• Strong programming skills in Python, Spark, and SQL.

• Proven experience designing and building ETL pipelines using Azure Synapse, Microsoft Fabric, and AWS Glue.

• Solid understanding of data modelling and database design, including Medallion Architecture principles.

• Experience with business intelligence tools, especially Microsoft Power BI.

• Knowledge of Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLMs) fundamentals.

• Following skills are considered an asset:

• 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.

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

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

• Skills in designing conceptual, logical and physical data models.

• Experience in handling large and complex datasets efficiently.

• Expertise in validating, monitoring, and improving data quality and consistency.

• Competence to specify or build user-friendly data visualization and reporting interfaces.

• Ability to clearly document processes.

• Proficiency in English language at a minimum C1 level.

At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look at our  for more information.