Business Intelligence / Data Analytics Engineer Trainee

TL;DR

Business Intelligence / Data Analytics Engineer Trainee: Designing, building, and maintaining scalable analytics solutions to transform raw data into actionable insights with an accent on data modeling, ETL pipeline development, and dashboard creation. Focus on translating business requirements into robust BI solutions, optimizing SQL performance, and supporting strategic decision-making within a leading European capital market infrastructure.

Location: Must be based in Porto, Portugal

Company

hirify.global is the leading European capital market infrastructure provider, operating seven national stock exchanges and managing a significant portion of European equity trading, clearing, and settlement services.

What you will do

• Collect, clean, transform, and validate data from multiple sources.
• Design and maintain semantic data models optimized for analytics and reporting.
• Build and optimize ETL/ELT pipelines to ensure data quality and consistency.
• Develop and maintain dashboards and reports using Power BI, Python, and R.
• Perform exploratory data analysis and develop machine learning models for predictive tasks.
• Collaborate with business stakeholders, data engineers, and product teams to define KPIs and metrics.

Requirements

• Bachelor’s or Master’s degree in Computer Engineering or related fields.
• Eligible for an IEFP Level VI Internship.
• Fluent in English (verbal and written).
• Strong SQL skills and experience with data warehouses.
• Proficiency in Python and C#.
• Hands-on experience with Power BI and ETL/ELT tools.

Nice to have

• Knowledge of Microsoft Fabric and Azure Foundry.
• Experience with cloud platforms like Azure or AWS.
• Familiarity with DevOps/CI-CD for BI and data governance frameworks.

Culture & Benefits

• Opportunity to work at the heart of European capital markets.
• Exposure to diverse international client bases and complex financial data.
• Professional development through structured internship programs.
• Collaborative environment partnering with data scientists and product teams.