Data Engineer (Snowflake)

Addepto is a leading AI consulting and data engineering company that builds scalable AI solutions for large enterprises and startups, including clients such as Rolls Royce, Continental, Porsche, ABB, and WGU. It is part of KMS Technology, a global technology group, combining deep AI specialization with enterprise-scale delivery capabilities. The company also develops its own product, ContextClue, and contributes open-source solutions to the AI community.

• At least 4+ years of commercial experience in backend or data engineering, including work with production-grade data pipelines or Big Data systems.
• Strong programming skills in Python, including solid hands-on experience with Django.
• Proven hands-on experience with Snowflake as a modern cloud data platform.
• Hands-on experience designing and building data ingestion / ETL-ELT pipelines using both file-based and API data sources.
• Working knowledge of AWS, particularly S3 and Secrets Manager.
• Experience with workflow orchestration tools such as Airflow / AWS MWAA or equivalent.
• Strong understanding of data validation, data quality, error handling, and production reliability.
• Experience designing or working with REST APIs.
• Understanding of data security and compliance requirements, including PII handling, audit trails, and data retention policies.
• Experience using AI coding assistants or agentic workflows as part of day-to-day software development.
• Excellent communication skills and the ability to clearly document technical decisions for engineering and operational stakeholders.
• Excellent English communication skills at C1 level, both written and spoken.

• 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 like Snowflake.
• Develop and maintain automated data-quality tests.
• Work with cloud services and workflow orchestration tools such as Airflow or AWS MWAA.
• 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.

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