Summary
The Senior Data Engineer role focuses on designing, building, and maintaining scalable data pipelines in a Google Cloud Platform (GCP) environment. The primary goal is to optimize data workflows for performance and reliability while collaborating with various teams to drive data-driven decision-making.
Main Responsibilities
Key responsibilities include:
- Design, build, and maintain scalable data pipelines on GCP.
- Optimize data workflows for performance, scalability, and reliability.
- Work closely with Data Scientists, Analysts, and other Engineers to support data-driven decision-making.
- Ensure data quality, governance, and compliance best practices.
Key Requirements
- Minimum 4 years of experience as a Data Engineer.
- Strong hands‑on experience with GCP (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage, etc.).
- Solid knowledge of SQL, Python, and ETL/ELT processes.
- Experience with data modeling and cloud data architecture.
- Comfortable working in agile, collaborative teams.
- Based in Portugal.
- Fluent in English (spoken and written).
Nice to Have
- Experience with CI/CD and DevOps practices.
- Familiarity with other cloud platforms (AWS, Azure).
- Knowledge of data security and privacy standards (GDPR, etc.).
Other Details
Location: Portugal. Team structure involves collaborative, Agile teams.