Senior Data Engineer (SaaS)

Location: Remote

Company

Work with a US-based client that delivers connectivity intelligence and data-driven solutions for service providers, enterprises, governments, and individuals worldwide. The project is an advanced SaaS analytics platform for mobile operators.

What you will do

• Participate in designing and implementing the data platform.
• Design, implement, and operate scalable streaming and batch data pipelines.
• Transform raw API-delivered data into enhanced datasets for data analysts and data scientists.
• Partner with engineers and data analysts to build reliable, understandable, and trusted datasets.

Requirements

• Proven experience building both streaming and batch data pipelines.
• Hands-on experience with at least one cloud platform, preferably AWS.
• Proficiency in SQL and comfortable working with Python.
• Experience designing and optimizing analytics data models for BI tools such as Tableau.
• Familiarity with data orchestration tools such as Apache Airflow.
• Deep experience with Spark and Iceberg.
• Comfort working with Docker and Kubernetes.
• Solid understanding of data warehouse solutions such as BigQuery or Amazon Redshift.
• Ability to thrive in a fast-paced startup environment.
• Strong communication skills in English at Upper-Intermediate level or higher.

Nice to have

• Background in or familiarity with the telecom industry.

Culture & Benefits

• Remote work with a flexible working schedule.
• Up to 20 working days of vacation, 10 working days of sick leave, and national holidays as time off.
• Online English courses and communication with top- and senior-level specialists.
• Direct cooperation with the customer, a low-bureaucracy environment, and team-oriented culture.
• Challenging projects across diverse business domains and technology stacks, plus online team-building and volunteering support.