Senior Data Platform Engineer

Salary: £60,000 - 100,000 per year

Requirements:

• We have solid, hands-on experience building and operating cloud-based data infrastructure.
• We are comfortable with infrastructure-as-code, CI/CD for data workflows, and container technologies such as Docker and Kubernetes.
• We write production-quality Python code; familiarity with Go or Java is a plus but not required.
• We bring a reliability mindset to data, building for observability, meaningful alerts, and durable improvements from incidents.
• We have a platform-product mindset and treat engineers, analysts, and other teams as primary users of the platform.
• We communicate clearly across different audiences, actively seek feedback, and use it to improve the platform.
• We actively use AI-powered tools to move faster and focus on architecture, system design, and tradeoffs.
• We have experience with Databricks, Apache Iceberg, Kafka, or similar lakehouse and streaming technologies, which is a strong advantage.

Responsibilities:

• We build and evolve our data platform infrastructure, including our Databricks-based lakehouse, Kafka consumers, ingestion tooling, and the foundational layer used by data engineers.
• We support and extend tooling such as dlt to make ingestion patterns reusable and robust.
• We build connectors, interfaces, and integrations that bring data into the hands of humans and AI agents, including MCP connectors and workflow skills.
• We design data workflows for a range of users, including data engineers, analysts, business teams, and AI tools.
• We build systems that make data reliable at scale through data observability, quality frameworks, monitoring, and alerting.
• We steward infrastructure, developer experience, and governance, including infrastructure-as-code, CI/CD, access management, security configurations, audit trails, and spend governance.
• We build golden-path templates and patterns that help engineers across the company get value from data quickly and safely.

Technologies:

• AI
• AI Agents
• CI/CD
• Cloud
• Databricks
• Docker
• Support
• Java
• Kafka
• Kubernetes
• LLM
• MCP
• Python
• Security
• Network
• REST
• Terraform

More:

We are DeepL, a global AI product and research company building secure, intelligent solutions for complex business problems. Our Language AI platform is trusted by over 200,000 business customers and millions of individuals across 228 global markets for human-like translation, improved writing, and real-time voice translation. Founded in 2017, we have around 1,000 employees and are backed by Benchmark, IVP, and Index Ventures. Our mission is to become the global leader in trusted, intelligent AI technology, and we are building the Operating System for Global Communication with an in-house stack spanning next-gen LLM training and real-time Language AI. We offer a diverse, internationally distributed team, open communication, regular feedback, hybrid work with flexible hours, Virtual Shares, regular in-person team events, monthly Hack Fridays, 30 days of annual leave, and competitive benefits tailored to location. This is a full-time hybrid role based in London within our Engineering department.

last updated 36 week of 2026