Senior Backend Engineer, Python, Django

🕒 il y a 9 jours

🇵🇱 Pologne – Télétravail

⏰ Temps Plein

🟠 Senior

🔙 Ingénieur Back-end

👻 Score fantôme 24%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Addepto

Site WebLinkedInTous les Emplois

51 - 200 employés

💼 Conseil

📦 Logistique

🏥 Santé

Consulting • Logistics • Healthcare

Addepto est une entreprise spécialisée dans les solutions d'Intelligence Artificielle et de Machine Learning adaptées à divers secteurs. Ils offrent des services de conseil en IA, de conseil en MLOps et d'ingénierie des données, fournissant des stratégies et applications complètes axées sur l'IA. Addepto se concentre sur la mise en œuvre de technologies d'IA sophistiquées telles que l'IA générative, la vision par ordinateur et les grands modèles de langage pour résoudre des problèmes commerciaux complexes. Ils répondent aux besoins de secteurs tels que la finance, l'aviation, le commerce de détail et la logistique, entre autres, améliorant ainsi les opérations et les processus décisionnels.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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