platform engineer for AI data workflows

Enfint; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work schedule

Virtual Shares

Team events

Hackathon sessions

25 days annual leave

Mental health resources

Job summary

DeepL ищет специалиста по данным для построения и эволюции облачной инфраструктуры данных в гибридном формате. Вы будете развивать lakehouse на базе Databricks, работать с Kafka и развивать инструменты для data-инженеров.

Кандидат должен владеть Terraform/Terragrunt, Docker/Kubernetes, Python на продакшн-уровне и фокусироваться на масштабировании платформы и улучшении наблюдаемости и надёжности.

Qualifications

• Опыт создания и эксплуатации облачной инфраструктуры данных.
• Опыт Terraform/Terragrunt, CI/CD для рабочих процессов данных, Docker/Kubernetes.
• Производственный уровень владения Python.

Responsibilities

• Строить и развивать инфраструктуру данных, включая lakehouse на базе Databricks, потребители Kafka и инструментальные средства.

Skills

Облачная инфраструктура

Python producción

AI-driven tooling

Коммуникация

Развитие систем

Tools

Terraform

Terragrunt

Docker

Kubernetes

Databricks

Apache Iceberg

Kafka

Job description

Описание

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.

Задачи

• 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

Требования

• 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

Условия

• 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