DeepL1 день назад
Senior Data Platform Engineer
Зарплата не указана
Полная занятостьУдалёнка
Обязанности
- 01Build 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
- 02Enable 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
- 03Make data trustworthy at scale: build the systems that make data reliable, not just available. Implement data observability, quality frameworks, monitoring and alerting that give every data consumer confidence in what they work with, and give the team visibility to catch problems before they become incidents
- 04Steward infrastructure, developer experience, and governance: take responsibility for how the platform is built and operated — infrastructure-as-code (Terraform/Terragrunt), CI/CD for data workflows, access management, security configurations, audit trails, and spend governance
Требования
- 01Cloud data infrastructure experience — solid, hands-on experience building and operating cloud-based data infrastructure
- 02Python proficiency — writes production-quality Python code
- 03Reliability 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
- 04A 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
- 05Clear, cross-functional communication — communicates effectively across different audiences, actively seeks feedback from data consumers, and uses that input to improve the platform
- 06AI-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