Data Engineer

We are looking for a Data Engineer Responsibilities: • Support and develop our in-house data enrichment solution built on event sourcing; • Build production-ready data marts using Airflow, dbt, and ClickHouse Materialized Views; • Implement data quality checks for Airflow DAGs and ClickHouse MVs; • Automate repetitive tasks and establish Data Engineering best practices and standards; • Write and maintain technical documentation. Requirements: • 3+ years of experience in data engineering; • Strong SQL: complex analytical queries and query optimization; • Strong Python: solid fundamentals and hands-on experience with DE libraries (e.g., pandas, SQLAlchemy, PySpark); • Software engineering background: you write production-grade Python, not just scripts (OOP, app architecture, testing, Git, CI/CD); • Hands-on experience with Airflow (building and maintaining DAGs); • Experience with dbt (models, tests, macros); • ClickHouse: table engines, Materialized Views, performance tuning; • Kafka: producers/consumers, topics and partitioning, delivery guarantees; • Experience with data quality tools (e.g., dbt tests, Great Expectations, Soda); • Solution-oriented mindset and ownership of results. We offer: • High salary (plus performance bonuses and salary revision); • Remote work; • Work schedule: Mon-Fri (8 hours per day) with flexible starting hours; • 24 days holiday leave; • Corporate English lessons; • Exciting work challenges that allow you to grow to your full potential; • A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.