> Markdown version of [/jobs/ext/1868060-senior-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/1868060-senior-data-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Platform Engineer

- **Company:** DeepL
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £64,779.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Apache HTTP Server, Cloud Database, Continuous Integration, Data Infrastructure, Python (Programming Language), Application Enhancement Tool, Containerization, Kubernetes, Apache Kafka, Video Streaming, Terraform, Docker, Databricks
- **Published:** August 2, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5824436255

## About the Role

* Cloud data infrastructure experience - solid, hands-on experience building and operating cloud-based data infrastructure; comfortable with infrastructure-as-code (Terraform/Terragrunt), CI/CD for data workflows, and container technologies (Docker/Kubernetes)
 * Python proficiency - writes production-quality Python code. Python is our primary language on the Data Platform; familiarity with Go or Java is a plus but not required
 * Reliability 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
 * A 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

Expected

 * Clear, cross-functional communication - communicates effectively across different audiences, actively seeks feedback from data consumers, and uses that input to improve the platform
 * AI-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

Nice-to-have

 * Lakehouse and streaming technologies - experience with Databricks, Apache Iceberg, Kafka, or similar is a strong advantage



## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon)
- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)