Middle Data Engineer (Analytics)

TL;DR

Middle Data Engineer (Analytics): Building and developing a data platform for a large business that handles billions of records daily with an accent on ensuring reliability and quality of the analytical infrastructure. Focus on designing and implementing data solutions that provide real value to the business.

Location: Hybrid (Ukraine, Kyiv, Poland, Warsaw)

Company

Ukrainian venture builder focused on creating international tech businesses.

What you will do

• Take full responsibility for tasks from design to implementation across various domains (DevOps, data pipelines, integrations, monitoring).
• Design and develop data solutions, creating new tools and enablers for the analytics team.
• Ensure reliability and quality by monitoring, maintaining, and optimizing existing processes.

Requirements

• Python: Experience writing clean, efficient, production-ready code.
• SQL: Deep knowledge of SQL, including optimization of complex analytical queries.
• GCP/BigQuery: Practical experience building and maintaining data processes in Google Cloud.
• Airflow: Experience in developing, deploying, and monitoring DAGs.
• Deep understanding of data engineering concepts: DWH, RDB, Data Formats, design patterns.

Nice to have

• Practical experience with transformation tools like Dataform/DBT.
• Knowledge of IaC tools (e.g., Terraform/Pulumi) and CI/CD.

Culture & Benefits

• Unlimited growth opportunities based on results.
• Mature data culture with visible impact on business.
• Continuous development with new solutions and internal products.
• Business-oriented collaboration for achieving common goals.