Data Engineer

Please Note 

This an application for a role, that will be open within a month. At the moment, we are collecting contact information from individuals who are interested in the Data Engineer job opportunity.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines for both batch and real-time processing.
• Develop and optimize a cloud-native data platform for machine learning and analytics.
• Integrate internal and external applications via bi-directional data pipelines and APIs.
• Ingest data into our data warehouse and distribute it to various providers (ESPs, internal applications, adtech platforms).
• Managing the underlying infrastructure for data applications.
• Ensure data reliability, security, and governance across platforms.
• Advocate for new technologies and frameworks to improve data accessibility for business users.
• Collaborate with data scientists and analysts to ensure efficient access to clean and structured data.

Requirements: 

• 4+ years of experience as a Data Engineer.
• Strong proficiency in Python and SQL.
• Experience with modern cloud-native data technologies and tools (e.g., AWS, Snowflake, Databricks, DBT, Airflow, Prefect, Spark).
• Experience building and operating container-based systems (i.e. Docker, Kubernetes) using infrastructure-as-code (i.e. Terraform).
• At least Upper-Intermediate English. 

We offer:

• Big stable project with professional team.
• Enterprise project.
• Friendly and supportive work environment.
• Competitive salary and benefits package.
• Room for personal and professional growth.
• Zero bureaucracy.
• 18 business days of paid vacation + public holidays compensation.
• Insurance Fund of the company.
• Coverage of all professional studies.
• Coverage of sick leaves, sports activities, and English language courses.