Senior Data and AI Platform Engineer

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Jellyfish

Site WebLinkedInTous les Emplois

1001 - 5000 employés

💼 Conseil

📱 Médias

📣 Marketing

Consulting • Media • Marketing

Jellyfish est une agence de marketing digital mondiale qui combine talent créatif, partenariats technologiques et expertise stratégique pour aider les marques à performer et à croître à l'échelle mondiale. Avec plus de 2 000 employés répartis dans 42 bureaux dans 22 pays, Jellyfish soutient les marques ambitieuses à travers des campagnes innovantes, une forte relation avec les technologies nouvelles et émergentes, et un modèle d'affaires unique qui favorise l'innovation. Leur expertise s'étend aux médias créatifs, à la technologie et à la stratégie des données, contribuant à leur réputation comme étant plus qu'une agence traditionnelle.

Description

• Design, build, and maintain data platforms and pipelines supporting analytics, data science, BI, and AI. • Lead the evolution of Jellyfish’s Databricks Lakehouse platform. • Enable enterprise-wide agentic analytics within Databricks with trusted datasets. • Help mature core Databricks platform capabilities including Unity Catalog and platform observability. • Build and maintain ingestion pipelines for high-value data. • Partner on data flows sending trusted data to other internal systems. • Collaborate with stakeholders to understand analytical needs and design platform solutions. • Create standards and reusable patterns for data modeling, documentation, testing, and governance. • Develop tools and processes to monitor data platform health, pipeline reliability, cost, performance, and usage. • Provide technical leadership as a senior individual contributor.

🎯 Exigences

• Deep experience in data engineering, data platform engineering, analytics engineering, or related roles. • Designed, built, and operated reliable data platforms or large-scale data pipelines in production. • Strong experience with Databricks or similar lakehouse/data platform technologies. • Understand how to build governed, well-modeled data assets supporting BI, analytics, data science, and AI. • Experience with data ingestion, transformation, orchestration, testing, monitoring, and data quality practices. • Advanced SQL skills and experience working with multiple database and warehouse technologies. • Strong programming experience, particularly in Python or similar languages. • Comfortable working with technical and non-technical stakeholders. • Strong communication skills and enjoy working part of a cross-functional team.

🏖️ Avantages

• Offers Equity