
51 - 200 Mitarbeiter
đź’Ľ Beratung
📦 Logistik
🏥 Gesundheitswesen
Consulting • Logistics • Healthcare
Addepto ist ein Unternehmen, das sich auf Künstliche Intelligenz und Machine Learning-Lösungen spezialisiert hat, die für verschiedene Branchen maßgeschneidert sind. Sie bieten KI-Beratung, MLOps-Beratung und Data-Engineering-Dienstleistungen an und liefern umfassende, auf KI-gestützte Strategien und Anwendungen. Addepto konzentriert sich darauf, anspruchsvolle KI-Technologien wie Generative KI, Computervision und große Sprachmodelle zu implementieren, um komplexe Geschäftsprobleme zu lösen. Sie bedienen Branchen wie Finanzen, Luftfahrt, Einzelhandel und Logistik, um Betrieb und Entscheidungsprozesse zu verbessern.
đź•’ vor 9 Tagen
🗣️🇺🇸🇬🇧 Englisch erforderlich
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51 - 200 Mitarbeiter
đź’Ľ Beratung
📦 Logistik
🏥 Gesundheitswesen
Consulting • Logistics • Healthcare
Addepto ist ein Unternehmen, das sich auf Künstliche Intelligenz und Machine Learning-Lösungen spezialisiert hat, die für verschiedene Branchen maßgeschneidert sind. Sie bieten KI-Beratung, MLOps-Beratung und Data-Engineering-Dienstleistungen an und liefern umfassende, auf KI-gestützte Strategien und Anwendungen. Addepto konzentriert sich darauf, anspruchsvolle KI-Technologien wie Generative KI, Computervision und große Sprachmodelle zu implementieren, um komplexe Geschäftsprobleme zu lösen. Sie bedienen Branchen wie Finanzen, Luftfahrt, Einzelhandel und Logistik, um Betrieb und Entscheidungsprozesse zu verbessern.
• Design and develop scalable data ingestion pipelines for file-based and API data sources using Python • Build and maintain backend components 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 in day-to-day software delivery • Work on a greenfield data platform and potentially other data projects involving automotive, aerospace, telecommunications, BigQuery, Looker, Spark, Cloudera, Iceberg, AWS, Azure, and Databricks
• 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) • Eligibility to work in the EU
• Flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces • Career development paths, knowledge-sharing initiatives, language classes, and sponsored training and conferences • Access to industry-leading training materials and certification programs through partnerships with Databricks and Anthropic • Team-building events and integration budget • Celebrations of work anniversaries, birthdays, and milestones • Medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching • Full work equipment, including a laptop and other necessary devices • Opportunities to speak at conferences, write for the company blog, or participate in meetups • Dedicated onboarding buddy • Supportive and autonomous culture
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