Senior Backend / Data Engineer (Python/Django)

Addepto is a leading AI consulting and data engineering company focusing on Artificial Intelligence and Big Data. It serves large global enterprises and startups, delivering scalable AI and data solutions. The company has developed its own product, ContextClue, and contributes to open-source AI projects. It operates as part of KMS Technology, combining AI specialization with enterprise-scale 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 at C1 level.

• 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.