Senior Backend Data Engineer

We are looking for a Backend Engineer to join our Data Engineering team and develop backend components and data-oriented infrastructure for large-scale data processing.

In this role, you will develop infrastructure that enables the generation and evolution of data entities and their reliable distribution across internal systems.

You will work closely with Data Science and Backend core teams to build scalable, cost-efficient, production-grade solutions in a data-heavy environment.

What you will do

Design and implement infrastructure that supports high-volume data processing
Continuously optimize performance, cost, and reliability at scale
Collaborate with Data Science and Backend core teams to define data contracts, interfaces, and integration patterns
Maintain high engineering standards — testing, observability, clean code, CI/CD fundamentals

Requirements:

3–5 years of experience in backend development
Strong hands-on skills with Python

Advantages / Nice to Have

Experience with modern data platforms – Snowflake / Delta Lake / Iceberg
Experience with distributed data processing (Databricks, PySpark, or similar)
Experience with cloud platforms – Azure
Experience with leadership — team management, project ownership, or task management

Personal Attributes

Ownership mindset and accountability
Passion for performance, scale, and cost-efficiency
Strong communication skills and effective collaboration with cross-functional teams

Confidential salary:
Yes