Data Engineer, Snowflake

• Design and develop scalable data ingestion pipelines for file-based and API data sources using Python
• Build and maintain backend components for data processing, validation, and integration
• Design and develop REST APIs using Python and Django
• Implement robust data quality, validation, and error-handling mechanisms
• Design and maintain data models and work with modern cloud data platforms and warehouses
• Develop and maintain automated data-quality tests
• Work with cloud services and workflow orchestration tools such as Airflow
• Contribute to CI/CD pipelines and application environment configuration
• Ensure solutions are reliable, maintainable, scalable, and production-ready
• Write and maintain technical documentation and operational runbooks
• Collaborate with engineers and stakeholders to translate business and technical requirements into effective solutions
• Use AI-assisted development tools and workflows as part of day-to-day software delivery

• At least 4 years of commercial experience in Backend Engineering, Data Engineering, or building production data-intensive systems
• Strong programming skills in Python, including clean code and solid software engineering practices
• Hands-on commercial experience with Django and building REST APIs
• Experience designing and developing data ingestion / ETL or ELT pipelines from file-based and API sources
• Experience with modern cloud data platforms or warehouses, such as Snowflake or Databricks
• Working knowledge of at least one major cloud platform: AWS, Azure, or GCP
• Experience with workflow orchestration tools such as Airflow or equivalent
• Strong understanding of data validation, data quality, and error-handling design
• Experience working with CI/CD and production environments
• Ability to work independently and take ownership of technical deliverables
• Experience using AI coding assistants or AI-supported development workflows
• Excellent communication skills and ability to clearly document technical decisions
• Fluent English, at least C1 level
• Eligibility to work in the EU

• Work in a supportive team of passionate enthusiasts of AI & Big Data
• Engage with top-tier global enterprises and cutting-edge startups on international projects
• Flexible work arrangements, allowing remote work or work from modern offices and coworking spaces
• Career development paths, knowledge-sharing initiatives, language classes, and sponsored training and conferences
• Access to industry-leading training materials and certification programs through partnerships with Databricks and Anthropic
• Team-building events and integration budget
• Work anniversary, birthday, and milestone celebrations
• Medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching
• Full work equipment, including a laptop and other necessary devices
• Opportunities to speak at conferences, write for the company blog, or participate in meetups
• Dedicated onboarding buddy
• Friendly, supportive, and autonomous culture