Full Stack, Data Engineer

Emploi pas sur LinkedIn

🕒 il y a 1 jour

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🚰 Ingénieur Data

🗣️🇺🇸🇬🇧 Anglais requis

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LineTen

51 - 200 employés

📦 Logistique

🍽️ Alimentation et boissons

🏥 Santé

💰 Seed Round en 2018-02

Logistics • Food & Beverage • Healthcare

LineTen est une entreprise technologique spécialisée dans l'intégration et l'agrégation de systèmes pour la gestion des ventes omnicanales et de l'exécution des commandes. Elle se distingue par des solutions telles que la gestion des livraisons, l'intégration de systèmes de point de vente (POS), et la création de sites de commande en ligne. LineTen propose des plateformes comme le Delivery Manager, qui facilite la livraison du dernier kilomètre grâce à un système complet impliquant de nombreux prestataires de livraison dans le monde entier. De plus, leur POS Bridge simplifie la gestion des commandes en consolidant divers agrégateurs en un système intégré. La plateforme de commande en ligne de LineTen permet aux entreprises de proposer leurs magasins en ligne, offrant des commandes en temps réel pour le retrait et la livraison, améliorant ainsi l'expérience client et l'efficacité opérationnelle.

Description

• Build and maintain cloud-native applications and services using C#, .NET, and Azure • Design, implement, and maintain Microsoft Fabric environments • Establish Bronze/Silver/Gold Medallion data architecture for internal analytics and external self-service • Provide 3rd-line support by diagnosing complex production issues across systems, cloud, and data layers • Develop deployment automation, observability, monitoring, alerts, logging, and reliability processes • Prototype and integrate LLM-driven solutions for self-service, analytics, and development efficiency • Partner with engineering, product, and operations teams from concept through production • Contribute to technical standards, documentation, and architecture evolution • Establish Fabric and Medallion data architecture for internal/external use • Improve production system stability, observability, and performance • Troubleshoot live-environment issues and improve data accessibility and self-service analytics • Experiment with AI and automation to improve team efficiency

🎯 Exigences

• Strong background in C# / .NET development, including API design and backend systems • Hands-on experience with Azure services, including App Services, Functions, Storage, Service Bus, and DevOps • Strong understanding of data architecture and ETL/ELT pipelines • Proven experience setting up Microsoft Fabric, Data Lakehouse, or Medallion architecture • Ability to troubleshoot complex distributed systems and identify root causes • Exposure to SRE principles, including monitoring, incident management, and resilience • Familiarity with AI/LLMs, such as OpenAI or Azure OpenAI APIs • Excellent problem-solving skills and ability to move from high-level strategy to hands-on delivery • Experience in a startup or small-team environment and comfort wearing multiple hats • Experience with Power BI, Delta Lake, Synapse, or Databricks is nice to have • Knowledge of Python or TypeScript for data or automation scripts is nice to have • Familiarity with CI/CD pipelines, IaC such as Terraform or Bicep, and observability stacks is nice to have • Strong grasp of security, compliance, and data governance principles is nice to have • Experience integrating AI-driven agents or copilots into developer workflows is nice to have

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