Senior Data Engineer

Responsibilities:

• Design and develop data pipelines and ETL/ELT processes to support internal data analytics and reporting.
• Build and maintain databases, with a strong understanding of both OLTP and OLAP architectures.
• Optimize data workflows to ensure reliable, accessible, and actionable data for product and analytics teams.
• Collaborate with analysts, engineers, and product teams to align data infrastructure with business goals.
• Utilize tools like Apache Spark, Spark Streaming, Kafka, Airflow, and dbt for data transformation and pipeline orchestration.
• Implement data visualization solutions using modern BI tools.
 

Requirements:

• 1–3 years of experience as a Data Engineer or in a related role.
• Proficiency in database design and development.
• Strong SQL skills and experience with ClickHouse, PostgreSQL, MongoDB.
• Knowledge of OLTP and OLAP architecture.
• Experience building and managing ETL/ELT pipelines.
• Hands-on experience with data orchestration tools like Apache Spark, Kafka, Airflow, and dbt.
• English level A2+, Ukrainian – native speaker.
 

Benefits:

• Remote or office-based work (flexible depending on your location).
• Work in a fast-paced, data-driven product team with real business impact.
• Opportunities to grow professionally, influence product decisions, and own your data architecture.