Data Engineer

We are looking for a brilliant Data Engineer- an independent, logical thinker who enjoys solving complex problems and building scalable data solutions. You will own and evolve the data foundations that power Product, Finance, Operations, and Business teams. Working closely with diverse stakeholders, Analysts, and R&D teams, you will serve as a technical partner, translating complex business challenges into robust data models, pipelines, and infrastructure. You should be able to translate business and data requirements into scalable data pipelines and data models, integrating multiple internal and external data sources using the most appropriate technologies. Beyond building pipelines, you will improve data quality, modernize existing data assets, automate manual workflows, and help create a clean, reliable, and scalable data ecosystem that supports the company's growth.

• →Design and build end-to-end data pipelines - From defining source structures and integrating APIs to delivering clean, trusted datasets that enable analytics, reporting, and operational workflows.
• →Translate business needs into scalable data solutions based on business priorities and the product roadmap, understand technical requirements, and deliver purpose-built pipelines and tools.
• →Act as the technical partner for Product, Finance, Operations, and R&D teams, translating business needs into scalable data models, pipelines, and internal tools while ensuring reliable, trusted data across the organization.
• →Write high-quality, maintainable code, while following best practices and leveraging modern data tooling and CI/CD principles.
• →Drive data quality and reliability - Monitor, validate, troubleshoot, and continuously improve data quality and pipeline reliability across the data platform.

• B.A / B.Sc. degree in a highly quantitative field 
• 4+ years of hands-on experience in data engineering, building data pipelines, writing complex SQL, and structuring data at scale
• Fast learner with high attention to detail, strong ownership, and the ability to manage multiple priorities in a dynamic environment
• Strong communication skills with the ability to partner effectively with both technical and business stakeholders
• Experience with Google Cloud data technologies (BigQuery, Cloud Composer/Airflow, Pub/Sub, Cloud Functions) or equivalent AWS/Azure data services
• Hands-on experience with dbt for data transformation and modeling
• Practical experience using AI tools (e.g., Claude, Cursor, GitHub Copilot, etc.) to improve development workflows and productivity
• Experience building internal data tools, automation workflows, or AI-powered solutions 
• High business intuition and analytical mindset, with a strong sense of how to turn raw data into insights and impact
• Fluent English and experience working with global teams

• Experience in designing and building scalable data systems for various data applications
• Background in data-driven companies in large-scale environments

The responsibilities described above are not exhaustive. You may be asked, from time to time and as reasonably required by business needs, to perform other duties consistent with your skills and role, including work for or on behalf of our related entities. This job description does not constitute.