Senior Data Engineer (with Backend Experience)

Technologies we use

About the project

Your responsibilities

• This is a hybrid role combining Data Engineering and Backend Engineering, with a stronger focus on the data layer.
• Build and maintain scalable ETL/data pipelines (Python, SQL, dbt, Snowflake, Airflow)
• Design and optimize data models, transformations and workflows
• Ensure data quality, consistency, and performance
• Integrate multiple data sources into a unified dataset
• Contribute to backend development (APIs, data access layer, backend-frontend contracts)
• Support platform integrations and cloud-based solutions
• Write clean, testable code and participate in code reviews
• Document data processes and system architecture

Our requirements

• Strong experience with Snowflake and dbt
• Advanced SQL skills (including query optimization)
• Experience with Apache Airflow (or similar orchestration tools)
• Experience with Docker, Kubernetes, and CI/CD practices
• Experience as a Backend/Software Engineer (APIs, services)
• Strong Python skills
• Ability to write clean, scalable, and testable code (including unit tests)
• Solid understanding and applying object-oriented programming (OOP)
• Experience with version control systems: Git
• Experience with AWS or Azure
• Good knowledge of English (minimum C1 level)

Optional

• Experience with Apache Spark (preferably Databricks)
• Experience with Azure AI Search or AWS OpenSearch
• Experience designing ETL/ELT pipelines
• Familiarity with LLMs, Azure OpenAI, or agentic AI systems

This is how we organize our work

This is how we work

This is how we work on a project

What we offer

• Flexible working hours and approach to work: fully remotely, in the office or hybrid
• Professional growth supported by internal training sessions and a training budget
• Solid onboarding with a hands-on approach to give you an easy start
• A great atmosphere among professionals who are passionate about their work

Benefits