#Data Engineer #vacancy

We are looking for a **Data Engineer
**
🌎 Remote.

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.

📩 @yuliya_akushka