Senior Data Platform Engineer

Deepl·Londonsenior

In short

→Ingeniero senior de plataforma de datos que construye infraestructura escalable basada en Databricks y Kafka.
→Desarrolla herramientas y conectores para integrar datos con IA, incluyendo MCP y habilidades de flujo de trabajo.
→El impacto es amplio: toda la empresa depende de esta plataforma para tomar decisiones con datos confiables.

Fluency in English is required for collaboration across global teams.

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What they ask for

✓Experiencia sólida en plataformas de datos y arquitectura de lakehouse
✓Conocimiento profundo de Databricks y Kafka para procesamiento a gran escala
✓Habilidades en diseño de sistemas de observabilidad y calidad de datos
✓Experiencia con herramientas de carga de datos como dlt
✓Capacidad para construir interfaces para usuarios no técnicos y agentes de IA
✓Enfoque centrado en el usuario y en la confiabilidad del sistema

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

DatabricksKafkadltMCP connectorsworkflow skillslakehousedata observabilitydata quality frameworksmonitoringalerting

Who should you write to at Deepl?

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Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn , Instagram , and our Blog . Meet the team behind this journey DeepL's Language AI reaches over 100 million users, but the decisions behind every model improvement, every product launch, and every business milestone run on data. The Data Platform team is the engineering foundation that makes that possible. We build and operate the infrastructure that the entire company relies on to work with data effectively — ingestion infrastructure, a reliable lakehouse, the tooling that data engineers build on top of, and increasingly, AI-powered interfaces (MCP connectors, workflow skills, and integrations) that bring data directly into how people and AI agents get work done across DeepL. Our customers aren't just data teams; they're the whole company. We're looking for engineers who care as much about the experience of the people who use their systems as they do about the quality of the systems themselves, who take responsibility from architecture to production, and who find meaning in work whose impact compounds quietly across an entire organization. If that resonates, this is your team. Your responsibilities Build and evolve the data platform infrastructure : shape and advance the core infrastructure our data ecosystem runs on — our Databricks-based lakehouse, Kafka consumers that reliably ingest data at scale, and the foundational layer that data engineers build their workflows on top of. You'll also support and extend tooling like dlt (data load tool) to make ingestion patterns reusable and robust, and make technical decisions that let the platform grow with DeepL's data volume, use-case diversity, and scale Enable AI-powered data workflows : build the connectors, interfaces, and integrations that bring data into the hands of humans and AI agents alike, including MCP connectors and workflow skills that let the rest of DeepL access and work with data in AI-assisted workflows. Design for the full range of users — data engineers, analysts, business teams, and the AI tools they use every day Make data trustworthy at scale : build the systems that make data reliable, not just available.

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