Data Engineer, Snowflake

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design and create scalable data ingestion pipelines for both file-based and API data sources utilizing Python.

• Develop and sustain backend components responsible for data processing, validation, and integration.

• Create and design REST APIs using Python and Django frameworks.

• Establish robust mechanisms for data quality, validation, and error handling.

• Design and manage data models, collaborating with modern cloud data platforms and warehouses.

• Develop and uphold automated data-quality testing procedures.

• Utilize cloud services and workflow orchestration tools such as Airflow.

• Contribute to CI/CD pipelines and the configuration of application environments.

• Ensure that solutions are reliable, maintainable, scalable, and production-ready.

• Produce and maintain technical documentation and operational runbooks.

• Collaborate with engineers and stakeholders to translate business and technical requirements into effective solutions.

• Utilize AI-assisted development tools and workflows in daily software delivery tasks.

⛳️ Requirements

• Minimum of 4 years of professional experience in Backend Engineering, Data Engineering, or in developing production data-intensive systems.

• Proficient programming skills in Python, emphasizing clean code and strong software engineering practices.

• Practical commercial experience with Django and the development of REST APIs.

• Experience in designing and building data ingestion / ETL or ELT pipelines from file-based and API sources.

• Familiarity with modern cloud data platforms or warehouses, like 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 similar alternatives.

• Strong grasp of data validation, data quality, and error-handling design principles.

• Experience in working with CI/CD processes and production environments.

• Ability to work independently and take responsibility for technical deliverables.

• Familiarity with AI coding assistants or AI-enhanced development workflows.

• Excellent communication abilities and the capacity to document technical decisions clearly.

• Fluent in English, with a minimum proficiency level of C1.

• Eligibility to work within the EU.

🏝️ Benefits

• Join a supportive team of passionate enthusiasts in AI & Big Data.

• Collaborate with leading global enterprises and innovative startups on international projects.

• Enjoy flexible work arrangements, with options for remote work or working from modern offices and coworking spaces.

• Access career development opportunities, knowledge-sharing initiatives, language classes, and sponsored training and conferences.

• Benefit from industry-leading training materials and certification programs through partnerships with Databricks and Anthropic.

• Participate in team-building events and have access to an integration budget.

• Celebrate work anniversaries, birthdays, and other milestones.

• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.

• Receive complete work equipment, including a laptop and necessary devices.

• Opportunities to speak at conferences, contribute to the company blog, or take part in meetups.

• Benefit from a dedicated onboarding buddy.

• Be part of a friendly, supportive, and autonomous work culture.