Senior Backend / Data Engineer (Python/Django)

Our requirements

• 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 the ability to clearly document technical decisions.

Optional

• Experience with Snowflake and/or Databricks.
• Experience with dbt or similar data transformation tools.
• Experience with Kafka or other streaming technologies.
• Familiarity with structured data-exchange formats.

Your responsibilities

• Design and develop scalable data ingestion pipelines for file-based and API data sources using Python.
• Build and maintain backend components responsible 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.

About the project

This is how we organize our work

Division of working time

• 80%

  New features
• 5%

  Maintenance / Bug fixing
• 5%

  Client support
• 5%

  Document writing
• 5%

  Meetings

Important:

What we offer

• 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.
• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
• Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
• Choose your preferred form of cooperation: B2B or a contract of mandate, and enjoy 20 fully paid days off.
• Participate in team-building events and utilize the integration budget.
• Celebrate work anniversaries, birthdays, and milestones.
• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
• Get full work equipment for optimal productivity, including a laptop and other necessary devices.
• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Development opportunities we offer

• assistance in preparation to public speeches
• conferences abroad
• conferences in Poland
• development budget
• external training
• industry-specific e-learning platforms
• intracompany training
• soft skills training
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company
• time for development of your ideas

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• remote work opportunities
• flexible working time
• fruits
• integration events
• no dress code
• video games at work
• birthday celebration
• employee referral program
• Reimbursement for prescription glasses or contact lenses

Recruitment stages

• 1.
  Let's get to know each other (45 min)
• 2.
  Technical Interview (1 h)
• 3.
  Management Interview (1 h)

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