platform engineer for AI data workflows
Enfint
Greater London, UK
12 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Job source
Tech stack
Artificial Intelligence
Apache HTTP Server
Audit Trail
Continuous Integration
Identity and Access Management
DataOps
Application Enhancement Tool
Data Ingestion
Kubernetes
Apache Kafka
Terraform
Docker
+1 more
Databricks
Job description
- Build and evolve data platform infrastructure, including the Databricks-based lakehouse, Kafka consumers, and foundational tooling for data engineers
- Support and extend dlt to make data ingestion patterns reusable and robust
- Make technical decisions that enable the platform to scale with DeepL’s data volume and use-case diversity
- Build connectors, interfaces, and integrations that bring data to humans and AI agents, including MCP connectors and workflow skills
- Design AI-powered data workflows for data engineers, analysts, business teams, and AI tools
- Implement data observability, quality frameworks, monitoring, and alerting
- Own infrastructure-as-code, CI/CD for data workflows, access management, security configurations, audit trails, and spend governance
- Build golden-path templates and patterns that help engineers across the company use data safely and efficiently, * Hybrid work schedule with office attendance twice a week and flexible working hours
- Virtual Shares for every employee
- Regular in-person team events
- Monthly full-day hacking sessions
- 30 Days of annual leave excluding public holidays
- Mental health resources
- Competitive benefits tailored to the employee’s location
Requirements
- Hands-on experience building and operating cloud-based data infrastructure
- Experience with Terraform/Terragrunt, CI/CD for data workflows, and Docker/Kubernetes
- Production-quality Python proficiency
- Reliability mindset, including observability, meaningful alerts, production ownership, and incident-driven improvements
- Platform-product mindset focused on developer experience and reducing friction for platform users
- Communicates effectively across different audiences and actively uses feedback from data consumers
- Actively uses AI-powered tools to move faster and focus on architecture, system design, and scalability tradeoffs
- Nice to have: experience with Databricks, Apache Iceberg, Kafka, or similar lakehouse and streaming technologies
About the company
DeepL is a global AI product and research company focused on secure, intelligent solutions for complex business problems. Its Language AI platform provides human-like translation, improved writing, and real-time voice translation for individuals and businesses worldwide.
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