Middle Data Engineer

The role

You will build and scale ETL/ELT processes for user activity data. You will design cloud data warehouses and analytical architectures using tools like BigQuery, Airflow, and Dataform.

What you will do

• Build and scale reliable ETL/ELT processes for user activity data collection and processing
• Design cloud data warehouses and analytical architectures using BigQuery, Airflow, Dataform or similar
• Ensure high availability, accuracy, and security of data processing
• Maintain platform-level quality standards including data lineage and observability
• Work with analytics, backend, and infrastructure teams to transform raw data into product metrics and actionable insights
• Formulate and defend technical decisions
• Take responsibility for the direction's results
• Proactively support colleagues through knowledge sharing and valuable code reviews
• Formulate the agenda and act as a CEO in the role

Required qualifications

• Deep proficiency in Python and SQL
• Practical experience with ETL/ELT orchestration (Airflow, Dataform or analogues)
• Experience with cloud platforms (GCP, AWS or Azure)
• Understanding of data warehousing: dimensional modeling, partitioning, clustering, cost control
• 3+ years as a Data Engineer in production environments with real load

Nice to have

• Experience on the analytics side (Data Analyst)
• Experience in a Python Engineer role outside of a data context

Benefits

• SKELAR Platform for professional self-realization
• Network and experience exchange
• Exclusive domain education and training programs
• Impact on systemic aid to Ukraine through SKELAR foundation
• Workspaces with gym, climbing wall, green zones in Bali, and libraries
• Breakfasts
• Lunches
• Access to sports training in Kyiv or partial compensation in Warsaw
• Medical insurance
• Paid business trips if required by the role
• Corporate discounts from partners

About the company

SKELAR is a venture-builder that builds companies. Their tech products are used by over 10 million people worldwide in sectors like EdTech, Mental health, Petcare, and FashionTech.