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# platform engineer for AI data workflows

- **Company:** Enfint
- **Location:** Greater London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Apache HTTP Server, Audit Trail, Continuous Integration, Identity and Access Management, DataOps, Application Enhancement Tool, Data Ingestion, Kubernetes, Apache Kafka, Terraform, Docker, Databricks
- **Published:** September 9, 2026
- **Apply:** https://www.collegerecruiter.com/job/2852292893-platform-engineer-for-ai-data-workflows

## About the Role

* 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

## 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


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