Data Engineer

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Koala Health

Site WebLinkedInTous les Emplois

11 - 50 employés

🏥 Santé

🍽️ Alimentation et boissons

💼 Conseil

Healthcare • Food & Beverage • Consulting

Koala Health est une entreprise dédiée à la simplification de l'accès aux médicaments pour animaux en offrant un service sans faille qui vérifie les prescriptions, trie et emballe les médicaments, et les livre directement aux clients sans frais de service ou d'expédition. Spécialisée dans les médicaments approuvés par les vétérinaires et les produits de santé, Koala Health garantit aux propriétaires d'animaux un accès facile aux traitements nécessaires tels que la prévention de la dirofilariose, le contrôle des puces et des tiques, le soulagement des allergies et les compléments pour la santé digestive. Axée sur la commodité et la fiabilité, Koala Health s'associe aux vétérinaires pour s'assurer que les animaux reçoivent les meilleurs soins possibles. Les clients peuvent profiter d'économies importantes sur leurs premières commandes grâce à divers codes promotionnels et rejoindre une communauté engagée dans le bien-être des animaux.

Description

• Own and evolve Koala Health’s end-to-end data infrastructure, including ingestion, transformation, modeling, and delivery. • Design and maintain reliable data pipelines from production systems (e.g., application databases, third-party tools, vendors). • Build and manage data models that support analytics, reporting, and operational use cases. • Establish and enforce best practices for data quality, testing, monitoring, and documentation. • Partner with stakeholders across product, operations, finance, and marketing to understand data needs and translate them into scalable solutions. • Improve the reliability, performance, and cost-efficiency of the data stack as the business grows. • Own incident response and debugging for data issues, proactively identifying and resolving root causes. • Create and maintain clear documentation so data assets are understandable and usable across the company. • Evaluate and implement tooling improvements where it meaningfully improves developer velocity or data quality. • Act as a thought partner to leadership on how data can better support decision-making and operational efficiency.

🎯 Exigences

• 4+ years of experience as a Data Engineer, Analytics Engineer, or in a similar role with significant end-to-end ownership. • Strong SQL skills and experience building well-structured analytical data models. • Hands-on experience working with cloud data warehouses, including Snowflake. • Experience designing and operating ELT pipelines using managed tools such as Fivetran (or comparable ELT solutions). • Familiarity with modern data platform orchestration and transformation frameworks (e.g., Mozart or similar). • Experience enabling analytics and reporting workflows using Looker with an understanding of how data modeling impacts downstream usage. • Solid programming experience (Python) for data pipelines and transformations. • Experience working with cloud infrastructure (AWS, GCP, or similar). • Ability to independently diagnose data quality issues, identify root causes, and implement durable fixes. • Proven ability to work autonomously, manage priorities, and deliver high-quality outcomes in a fast-moving environment. • Strong systems thinking and an instinct for building simple, reliable solutions. • Excellent communication skills and comfort collaborating with non-technical stakeholders.