Senior Backend / Data Engineer (Python/Django)

Addepto is a leading AI consulting and data engineering company focusing exclusively on Artificial Intelligence and Big Data. They build scalable, ROI-focused AI solutions for large enterprises and startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. The company develops its own product, ContextClue, and actively contributes open-source solutions to the AI community. Addepto is recognized by Forbes as one of the top 10 AI consulting companies worldwide and is part of KMS Technology, a US-based global technology group.

• 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).

• 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.

Candidates must be eligible to work in the EU.