Data Engineer

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent, logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with a business orientation.
It involves working closely with the analysts, product, and the R&D team and directly affecting the company's cross-department decisions.
Our Data Engineer should be able to design and build a data flow from the API or source requirements with the most suitable tools to fit the data product requirements.
They need to speak in technical and practical terms and, more importantly, lead from one to the other while dealing with challenges, independent learning, and creating them to make our team even better.
Roles and Responsibilities:
Designing and building full data pipelines: From defining source structures to delivering clean, organized data ready for analysis, your work ensures analysts have everything they need to make smart, data-driven decisions
Translating business needs into scalable data solutions involves staying close to the roadmap, understanding technical nuances, and delivering purpose-built pipelines and tools
Writing high-quality, maintainable code: Following best practices while leveraging modern data engineering tooling and CI/CD principles
Solving complex data challenges creatively: Whether it's device identity (Device Graph), online-to-offline matching, privacy compliance, or server-to-server integrations
Managing multi-source data environments: We bring in data from over 50 sources (Marketing, Product, CS, CRM, Ops, and more), and you will assist in tying it all together into a reliable, insight-ready system
Keeping quality and reliability top of mind: Monitor, validate, and improve data quality while ensuring robust processes across the stack