DeepL is seeking a Senior Data Platform Engineer to join our Data Platform team in London, United Kingdom. This hybrid role focuses on building and evolving our cloud data infrastructure to support the company's data and AI initiatives. Key responsibilities include designing and expanding the Databricks-based lakehouse, implementing scalable data ingestion with Kafka, and developing the underlying tooling for data engineers (such as data load tooling). You will enable AI-powered data workflows by creating connectors and interfaces, and ensure data trust through observability, quality frameworks, monitoring, and governance. You will also manage infrastructure-as-code, CI/CD for data workflows, access control, security configurations, and spend governance, while delivering fast, safe patterns for engineers across the company.
DeepL is seeking a Senior Data Platform Engineer to join our Data Platform team in London, United Kingdom. This hybrid role focuses on building and evolving our cloud data infrastructure to support the company's data and AI initiatives. Key responsibilities include designing and expanding the Databricks-based lakehouse, implementing scalable data ingestion with Kafka, and developing the underlying tooling for data engineers (such as data load tooling). You will enable AI-powered data workflows by creating connectors and interfaces, and ensure data trust through observability, quality frameworks, monitoring, and governance. You will also manage infrastructure-as-code, CI/CD for data workflows, access control, security configurations, and spend governance, while delivering fast, safe patterns for engineers across the company.
Must-have: cloud data infrastructure experience with IaC (Terraform/Terragrunt), CI/CD for data workflows, and container technologies (Docker/Kubernetes); Python proficiency; reliability and strong ownership of production systems; a platform-product mindset with focus on developer experience. Expected: clear cross-functional communication; AI-native velocity. Nice-to-have: experience with lakehouse and streaming technologies such as Databricks, Apache Iceberg, Kafka.
What we offer: a diverse, globally distributed team with a hybrid work model (in-office twice a week); Virtual Shares and an ownership mindset; regular team events; monthly hack Fridays; generous annual leave; and benefits tailored to your location. DeepL is an equal opportunity employer
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Must-have: cloud data infrastructure experience with IaC (Terraform/Terragrunt), CI/CD for data workflows, and container technologies (Docker/Kubernetes); Python proficiency; reliability and strong ownership of production systems; a platform-product mindset with focus on developer experience. Expected: clear cross-functional communication; AI-native velocity. Nice-to-have: experience with lakehouse and streaming technologies such as Databricks, Apache Iceberg, Kafka.
What we offer: a diverse, globally distributed team with a hybrid work model (in-office twice a week); Virtual Shares and an ownership mindset; regular team events; monthly hack Fridays; generous annual leave; and benefits tailored to your location. DeepL is an equal opportunity employer
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