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Senior Data Platform Engineer

deepl · Remote
RemoteFull-timeEngineeringConstruction$179,000–$241,000/yr
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About the Senior Data Platform Engineer role

Senior Data Platform Engineer positions focus on delivering results in their domain. This page aggregates open Senior Data Platform Engineer roles and what employers typically expect.

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 onLinkedIn https://www.linkedin.com/company/deepl/,Instagram https://www.instagram.com/deepl_official/, and our Blog https://www.deepl.com/en/blog. MEET THE TEAM BEHIND THIS JOURNEY DeepL is not just a translation tool; we are building the Operating System for Global Communication. We are the rare AI company that builds the entire stack in-house: from training next-gen LLMs on our own NVIDIA DGX SuperPODs to delivering real-time Language AI to over 300 million users and 200,000+ businesses globally. We are shifting gears. We are moving from "Software-First" to "Product-First." We don't hire engineers to just close tickets or optimize algorithms in isolation. We hire Missionaries—builders who obsess over the Why before the How. 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 integrat…

Salary estimate

$179,000 – $241,000/yr
Provided by the employer.

Skills for this role

KafkaCommunication

Resume tips for Senior Data Platform Engineer applicants

Interview preparation

Prepare concrete STAR-format stories that show Senior Data Platform Engineer outcomes you drove.

Research the employer's product and recent news before the interview.

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Have thoughtful questions ready about the team, tools and success metrics.

About deepl

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