Senior Data Engineer

About the role

As a Senior Data Engineer you will own complex data workflows that enable digital transformation for global brands. You will design and implement scalable data solutions that turn raw information into actionable marketing insights.

Key responsibilities

• Develop and deploy production‑grade data pipelines using orchestration tools such as Airflow or dbt.
• Optimize data models for performance and cost‑efficiency in cloud environments.
• Perform code reviews and mentor Core Engineers to maintain high standards.
• Collaborate with Data Scientists and Analysts to ensure data readiness for advanced modeling.
• Implement data security and privacy best practices in line with global standards.

Required profile

• Proven experience designing and building ETL/ELT pipelines in a professional setting.
• Deep proficiency in SQL and Python for data processing.
• Experience with at least one major cloud platform (AWS, GCP or Azure).
• Knowledge of data modeling techniques such as Star Schema or Data Vault.
• Ability to act fast and adapt to evolving brand needs.

Required skills

• SQL
• Python
• Airflow
• dbt
• AWS, GCP or Azure
• Data modeling (Star Schema, Data Vault)

What we offer

• Premium healthcare for employee and immediate family.
• Mendel prepaid card with monthly grocery allowance.
• Monthly reimbursements for Wi‑Fi/electricity and training/English classes.
• 100% covered “Plan Total” membership at Sportclub.
• Access to benefits platform through Bonda.
• Flexible vacation policy.