TL;DR

Senior Data Engineer (AI): Building and optimizing data pipelines and self-service tooling for a next-gen AI sales agent with an accent on data quality, reliability, and governance. Focus on collaborating on data architecture plans, implementing best practices in data governance, and handling real-time data streaming platforms.

Location: Flexible work options, including remote and hybrid opportunities in Bulgaria, Lithuania, Poland, or Romania.

Company

Our client develops a smart recommendation engine and custom enterprise solution, collaborating with major telecom and media brands across Europe and the United States, supporting millions of customer decisions daily.

What you will do

Contribute to the data engineering roadmap and collaborate on data architecture plans.
Develop and implement robust, scalable data solutions with cross-functional teams.
Build, maintain, and improve data pipelines and self-service tooling.
Develop automated tests and monitoring for data quality and pipeline reliability.
Implement best practices in data governance, documentation, and observability.
Support the adoption of tools and best practices, and mentor junior colleagues.

Requirements

5+ years of commercial experience in a Data Engineering role.
Excellent production-grade Python skills.
Previous experience with real-time data streaming platforms like Kafka.
Experience handling and validating real-time data and stream processing frameworks.
Comfortable with database technologies such as Snowflake/PostgreSQL and NoSQL (Elasticsearch/MongoDB/Redis).
Proficient with ELT pipelines and the full data lifecycle.
English: B2 (Upper-Intermediate) required.

Nice to have

Understanding of JavaScript/TypeScript.
Experience with Docker and Terraform.
Experience with EKS/Kubernetes.
Experience developing APIs.

Culture & Benefits

Technical and non-technical training and internal conferences.
Support and mentorship for professional growth.
Internal startup incubator.
Health insurance and English courses.
Flexible work options, including remote and hybrid.
Referral program and additional vacation days.