Data Engineer

What will you do?

As a Data Engineer at Rebtel, you will do more than build pipelines; you'll help shape the future of our data platform and influence how data is used across the company. At Rebtel, data sits at the heart of how we build products, understand customers, optimize growth, and make decisions.

This is a hands-on engineering role with significant ownership. You'll work across our modern data stack, build scalable data products, and help define the architecture that supports analytics, automation, and future AI initiatives.

If you're excited by clean architecture, modern data engineering practices, and solving meaningful business problems at scale; if you care about data quality and believe trust in data is built through engineering discipline; if you enjoy solving complex problems and turning ambiguity into practical solutions; and if you're excited to experiment with new technologies and approaches, we'd love to talk.

Areas of ownership:

Design, build, and maintain scalable, reliable data pipelines that power our Snowflake data platform

Integrate data from a wide range of business and product systems

Enable data activation across customer-facing and operational platforms, including CRM, customer support, and marketing tools

Develop robust monitoring, alerting, and observability practices to ensure platform reliability

Troubleshoot, optimize, and continuously improve data workflows and platform performance

Design and implement scalable ELT workflows using modern data engineering practices

Build well-structured dimensional models (facts and dimensions) that enable self-service analytics and reporting

Implement automated testing and quality controls throughout the data lifecycle

Ensure data is accurate, accessible, and trusted across the organization

Work closely with analysts, product managers, engineers, marketers, and business stakeholders to understand data needs and deliver impactful solutions

Help translate complex business challe