
Senior Data Engineer (Hybrid)
- Lisboa
- Permanente
- Horário completo
- Design, implement, and maintain scalable ETL/ELT data pipelines using SQL and Python.
- Collaborate with cross-functional teams to understand data requirements and deliver high-quality solutions.
- Work with large-scale datasets in both structured and semi-structured formats.
- Optimize data storage and processing using cloud-native technologies (e.g., AWS S3, Glue, Redshift).
- Apply best practices in data modeling (star schema, snowflake, SCDs, columnar models).
- Ensure data quality, security, and compliance standards are met.
- Support data integration with BI/reporting tools and analytics platforms.
- Degree or Master in Computer Science, Management Informatics or similar.
- 5+ years of experience as a Data Engineer, preferably in large-scale or enterprise environments.
- Strong proficiency in SQL and Python.
- Solid understanding of data modeling principles and performance optimization.
- Experience with cloud platforms, preferably AWS (S3, Glue, Athena, Redshift).
- Familiarity with PySpark or other distributed data processing frameworks.
- Experience with NoSQL databases and cloud data storage formats such as Parquet.
- Strong communication and collaboration skills.
- Fluent in English - written and spoken.
- Knowledge of data governance and data security best practices.
- Familiarity with CI/CD pipelines and infrastructure as code.
- Experience with BI/reporting tools (e.g., Tableau, Power BI, Looker).