Staff Data 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

• Define the architecture and long-term technical direction, design and implementation of our data pipelines and integrations platform for storage, transformation and export at scale. • Drive integrations with third-party tools and establish the standards that make future integrations faster and more reliable • Own our infrastructure as code strategy using Terraform, and contribute to how we evolve our cloud data infrastructure • Architect workflow orchestration systems for near-real-time and batch data processing, with a focus on reliability and scalability • Lead the design and implementation of data export pipelines that serve diverse customer needs • Spearhead development of internal tooling and agentic workflows that meaningfully accelerate engineering velocity across the org • Serve as a technical anchor — leading design reviews, mentoring engineers, and elevating how the team approaches complex problems • Partner with engineering leadership on roadmap prioritization, cross-team dependencies, and org-wide technical strategy • Communicate clearly about technical decisions, tradeoffs, and project status to both engineers and non-technical stakeholders

🎯 Exigences

• You have deep expertise building and scaling data pipelines, and a track record of owning complex data infrastructure end-to-end — not just contributing to it • AI - driven developer who dives deep into AI first workflows • Expert Python engineer with strong opinions about how to build reliable, maintainable systems at scale • Designed and led large-scale third-party API integration work, and you know what separates a maintainable integration from a brittle one • Fluent in infrastructure as code (Terraform, CloudFormation, or similar) and think about infrastructure as a product, not an afterthought • Experienced with AI/LLM tool integrations (Claude, Copilot, etc.) and understand the unique infrastructure demands they create • You have production experience with workflow orchestration tools (Prefect, Airflow, Dagster) and can make the hard architectural calls • A natural technical leader — you build consensus, unblock others, and make the engineers around you better • You think in systems: you consider user needs, business impact, and long-term maintainability when designing solutions • Exceptional communicator who can write a design doc, lead a review, and distill a complex tradeoff for any audience • Located in EST or CST time zone

🏖️ Avantages

• Offers Equity