Senior Data Platform Engineer

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.

Responsibilities

Build and evolve the data platform infrastructure; Enable AI-powered data workflows; Make data trustworthy at scale; Steward infrastructure, developer experience, and governance

Requirements

Cloud data infrastructure experience — solid, hands-on experience building and operating cloud-based data infrastructure; comfortable with infrastructure-as-code (Terraform/Terragrunt), CI/CD for data workflows, and container technologies (Docker/Kubernetes); Python proficiency — writes production-quality Python code. Python is our primary language on the Data Platform; familiarity with Go or Java is a plus but not required; Reliability and operational excellence — brings a reliability mindset to data: builds for observability, writes meaningful alerts, owns systems in production, and turns incidents into durable improvements; A platform-product mindset — treats the engineers, analysts, and teams who build on the platform as primary users; thinks deeply about developer experience and reduces friction proactively; Clear, cross-functional communication — communicates effectively across different audiences, actively seeks feedback from data consumers, and uses that input to improve the platform; AI-native velocity — actively uses AI-powered tools to move faster and take on harder problems, freeing focus for the decisions that matter: architecture, system design, and the tradeoffs that determine whether a platform scales gracefully

Nice to have

Lakehouse and streaming technologies — experience with Databricks, Apache Iceberg, Kafka, or similar is a strong advantage

Benefits

Diverse and internationally distributed team; Open communication, regular feedback; Hybrid work, flexible hours; Virtual Shares; Regular in-person team events; Monthly full-day hacking sessions; 30 days of annual leave; Competitive benefits