Staff Data Engineer

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Jellyfish

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1001 - 5000 Mitarbeiter

📱 Medien

Media • Marketing

Jellyfish ist eine globale Digitalmarketing-Agentur, die kreatives Talent, Technologiepartnerschaften und strategische Expertise kombiniert, um Marken weltweit zu unterstützen und zu wachsen. Mit über 2. 000 Mitarbeitern, verteilt auf 42 Büros in 22 Ländern, unterstützt Jellyfish ehrgeizige Marken durch innovative Kampagnen, eine enge Beziehung zu neuen und aufkommenden Technologien und ein einzigartiges Geschäftsmodell, das Innovation fördert. Ihre Expertise umfasst kreative Medien, Technologie und Datenstrategie, was zu ihrem Ruf beiträgt, mehr als nur eine traditionelle Agentur zu sein.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• Offers Equity