Senior Data Engineer

Role Overview

• Build and evolve reliable, high-impact data pipelines and reporting platforms.
• Work with modern cloud-native technologies.
• Take ownership of data quality, platform resilience, and innovation.
• Collaborate with cross-functional teams to deliver trusted, scalable data solutions.

Key Responsibilities

• Enhance data warehousing and reporting capabilities, helping the platform transition from building to scaling.

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• Improve platform reliability by strengthening data pipelines, increasing observability, and supporting scalability.
• Maintain high code quality through code reviews, documentation, and clean, reusable, well-tested Python code.
• Partner with Science and Analytics teams to translate business requirements into efficient Google Cloud Platform (GCP) infrastructure and Kubernetes deployments.
• Identify performance bottlenecks and implement modern, scalable solutions.

Technical Skills

• More than 6 years on a similar role;

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• Strong professional experience with Python, writing clean, modular, and maintainable code.
• Hands-on experience with Google Cloud Platform (GCP) data services.
• Experience with Kubernetes, Docker, and workflow orchestration using Apache Airflow / Cloud Composer.
• Proficiency with Git, pull request workflows, and CI/CD pipelines.
• Experience working with both SQL databases and MongoDB (NoSQL).
• Strong product-oriented profile
• Knowledge of schema evolution and maintaining data consistency across different systems.
• Strong debugging and root cause analysis skills.
• Good level of English - B2.

100% remote