Senior Data Engineer

We are looking for a Senior Data Engineer who will build and maintain scalable data pipelines, modernize orchestration processes and ensure high-quality, reliable data across the product ecosystem. This role focuses on ETL development, data processing, orchestration and platform stability, without a requirement for deep DevOps responsibilities.

Requirements:

• Strong background in Data Engineering with hands-on experience in ETL, orchestration and distributed data processing
• Solid experience with Airflow, Spark, DBT, Kubernetes-based executors and AWS services
• Proven experience working with large-scale datasets (TB level) and complex data workflows
• Strong Python skills for ETL development and data manipulation
• Understanding of data modelling, data quality, storage formats and workflow optimization
• Experience with monitoring and observability tools
• Front-end experience (React, Vue, or similar) is a plus for integrating data with dashboards
• Ability to take ownership, work independently and drive improvements
• Excellent communication skills in a cross-functional environment

Responsibilities:

• Develop and support ETL pipelines using Airflow, Spark, DBT, Argo, Airbyte and AWS-based tools
• Own data ingestion, transformation and quality processes across datasets of tens of TB
• Migrate and modernize orchestration from legacy solutions to Airflow on Kubernetes
• Design, maintain and optimize data workflows for accuracy, performance and reliability
• Implement data quality checks, governance rules and access controls
• Collaborate with engineering, analytics and product teams to ensure data availability for applications, dashboards and internal tools
• Improve scalability, observability and stability of data processing with monitoring tools such as Prometheus, DataDog and Grafana
• Contribute to architectural decisions related to data workflows and platform evolution
• Provide technical guidance to team members and participate in code reviews

We offer:

• Competitive salary with regular review
• Vacation (up to 20 working days)
• Paid sick leave (10 working days)
• National holidays as paid time off (11 days)
• Online English courses
• Accountant assistance and legal support
• Flexible working schedule: remote, office-based, or hybrid
• Direct cooperation with the customer
• Dynamic environment with low bureaucracy and great team spirit
• Challenging projects in diverse business domains and a variety of tech stacks
• Communication with Top/Senior-level specialists to strengthen your hard skills
• Online teambuildings and volunteering initiatives for culture development and support