4 months ago
Porto, PortugalEntry Level
Responsibilities
- Collect, clean, transform, validate, and analyze data from multiple sources.
- Develop and evaluate supervised and unsupervised machine learning models and prepare datasets for statistical analysis and predictive modeling.
- Design and maintain semantic data models, including star and snowflake schemas, for analytics and reporting.
- Build and optimize ETL/ELT pipelines while ensuring data quality, consistency, and performance.
- Develop and maintain Power BI dashboards, reports, semantic models, and DAX-based solutions.
- Translate business requirements into BI solutions and collaborate with business users on KPIs, metrics, and reporting needs.
- Optimize SQL queries, data models, and report performance for large-scale datasets across cloud and on-premises environments.
- Define data standards, naming conventions, documentation, data lineage, and metadata management practices.
- Ensure compliance with security and privacy requirements.
- Provide guidance and best practices to analysts and report developers.
Requirements
- Bachelor’s or master’s degree in Computer Engineering or a related field.
- Eligibility for an IEFP Level VI Internship.
- Good programming skills and knowledge of Python and C#.
- Knowledge of machine learning model development and evaluation.
- Experience with data wrangling libraries such as Pandas/Modin, Polars, and NumPy.
- Knowledge of SQL Server, PostgreSQL, DuckDB, or other databases.
- Strong SQL skills and experience with data warehouses such as Snowflake, Azure Synapse, BigQuery, Redshift, or SQL Server.
- Hands-on experience with Power BI, semantic models, DAX, DirectQuery, and ETL/ELT tools such as SSIS, Azure Data Factory, Airflow, and dbt.
- Knowledge of data modeling techniques including Kimball and dimensional modeling.
- Ability to translate business needs into data models and KPIs.
- Strong communication, organizational, prioritization, and knowledge-sharing skills.
- Fluency in English with strong verbal, written, and interpersonal communication skills.
- Knowledge of Microsoft Fabric and Azure Foundry is desirable.
- Experience with Azure, AWS, DevOps/CI-CD for BI, and data governance frameworks is desirable.
Tech Stack
Amazon RedshiftApache AirflowAWSAzureC#dbtGoogle BigQueryMicrosoft SQL ServerNumPyPandasPostgreSQLPythonRSnowflake
Categories
Data EngineeringData Science
About Euronext
Euronext operates pan-European stock exchanges and market infrastructure, providing listing, trading, clearing, settlement, indices, and market data for issuers, investors, and trading firms. Its revenue comes from transaction and listing fees, market data, and technology and post-trade services. Founded in 2000 and headquartered in Amsterdam, it runs exchanges in Belgium, France, Ireland, Italy, the Netherlands, Norway, and Portugal, and operates MTS (fixed income) and the Nord Pool power market.