Define the data engineering strategy, aligning business needs with the platform's data architecture.
Design and validate the Medallion architecture, ensuring scalability, security, and robustness of the pipelines.
Make strategic technical decisions regarding the use and integration of tools such as Cloud Run, GKE, BigQuery, dbt, Airbyte, Cloud Storage, and Pub/Sub.
Design, develop, and optimize data pipelines using Cloud Run (Python), Airflow, and dbt.
Provide technical mentorship to the team, conducting code reviews and promoting best practices.
Act as an interface between technical and business stakeholders, translating requirements into efficient technical solutions.
Ensure data quality and governance by implementing monitoring and proactive alerts.

Deep knowledge and experience with Python, ETL, and complex data pipelines.
Expertise in GCP: BigQuery, Cloud Storage, Cloud Run, GKE, and Pub/Sub.
Solid experience with dbt for data transformation and orchestration.
Proficiency in Medallion architecture and in versioning practices and CI/CD pipelines (GitHub).
Proven experience delivering end-to-end data engineering projects.
Experience integrating with and communicating to business areas.
Structured use of AI in the development process as part of the workflow: planning, code writing, review, and documentation. We are looking for someone who has already incorporated AI as a productivity lever.

💻 Company-provided equipment
🛫 Paid time off
🩺 Health insurance
🦷 Dental insurance
🗒️ Accounting assistance
🧬 Life insurance
💰 Private pension plan
💲 Accident insurance
🎂 Birthday day off (during your birthday month)
💪 WellHub
👶 Baby Hero break: time to be with your baby after birth
💍 Wedding leave
🤑 Childcare reimbursement
📧 Virtual Office (Hero)
✈️ OnHappy benefit: discounts on travel and accommodation
🎉 Great work environment with leisure space, game room, and a relaxed atmosphere!

Senior Data Engineer

Key skills