Data Engineer

We are currently looking for a Middle+ / Senior Data Engineer to join our Analytics Department and contribute to the development of the company’s analytical platform.

The main focus of the role is developing and optimizing our ClickHouse-based Data Warehouse, designing reliable ETL/ELT processes, and improving the overall data architecture.

Your main goal: build and maintain a scalable, reliable, and high-performance data infrastructure that supports the company’s analytics and business needs.

What experience is important to us:

• At least 3 years of experience in Data Engineering, Analytics Engineering, DWH development, or a similar role.
• Expert-level ClickHouse: DWH schema design, engines, partitioning, indexing, Materialized Views, optimization of complex JOINs and aggregations, system log analysis.
• Advanced SQL skills.
• Strong Python skills for pipeline development and automation.
• Hands-on experience with Apache Airflow, including DAG development, maintenance, and monitoring.
• Experience with REST APIs, Webhooks, and S3-compatible storage (MinIO / AWS S3).
• Confident knowledge of Linux, Git/GitHub, and Docker.
• Experience with Prometheus & Grafana.
• English at B1–B2 level.
• Strong systems thinking, independence, and ownership.

Will be a plus:

• Experience in iGaming, FinTech, or E-commerce.
• Experience designing and building a DWH from scratch.
• Experience with high-load ClickHouse environments.
• Basic understanding of Apache Kafka.

What you will do:

• Develop and maintain the company’s ClickHouse-based DWH, including architecture, data layers, and data marts.
• Design and optimize storage schemas and high-load analytical processes.
• Develop and maintain ETL/ELT pipelines in Apache Airflow and ensure their reliability.
• Optimize resource-intensive processes and analytical queries.
• Build and maintain integrations with internal and external data sources.
• Work closely with business, analytics, and engineering teams to formalize requirements and implement solutions.
• Handle ad hoc data requests and research datasets.
• Improve data engineering standards, maintain technical documentation, and reduce technical debt.

The position is full-time and fully remote. Due to security requirements, daily work is performed within a protected environment via remote desktop (WDS/RDS).

Interested?

If you have strong expertise in ClickHouse, SQL, Python, and Airflow, enjoy solving complex data infrastructure challenges, and want to influence how a growing analytical platform is built and scaled — we’d love to talk.

Apply for the role or reach out directly to learn more about the team, infrastructure, and challenges.