Senior Data Platform Engineer - Real-Time Analytics & Search

Toast; Dublin; Hybrid; EUR 110,000 - 160,000; Full time

Job summary

Toast in Dublin is seeking a Senior Software Engineer to join the OLAP Platform team, building the analytical data layer that powers real-time reporting, search, and AI-driven data access across Toast. The role centers on OpenSearch indexing, a federated GraphQL surface, and scalable backend services in Java/Kotlin.

You will work across teams to optimize performance for large datasets, with a strong emphasis on testing, data freshness, and reliability in a hybrid environment requiring in-office

Qualifications

• Strong backend engineering skills in Kotlin, Java, or another object-oriented language with testing and code quality
• Experience with large datasets requiring correctness, freshness, and query performance
• Comfort with document-based or columnar data stores (BigTable, DynamoDB or similar)
• Strong interest in core search engineering including ranking, semantic/natural language search
• Ability to collaborate across teams and ship clean solutions for other engineers
• Use of AI tooling as a normal part of workflow, not an afterthought

Responsibilities

• Build and scale the OLAP platform powering real-time reporting and AI-driven products
• Index events from Toast into OpenSearch and expose data via federated GraphQL layer
• Collaborate across product teams to ensure platform performance and cost balance
• Deliver reliable, well-tested backend services in Kotlin/Java and related tech stack

Skills

Kotlin

Java

Backend engineering

Testing & code quality

Big data

OpenSearch

DynamoDB/OpenTable stores

Tools

OpenSearch

Elasticsearch

Kafka

Pulsar

GraphQL

Job description

Toast in Dublin is seeking a Senior Software Engineer to join the OLAP Platform team, building the analytical data layer that powers real-time reporting, search, and AI-driven data access across Toast. The role centers on OpenSearch indexing, a federated GraphQL surface, and scalable backend services in Java/Kotlin.

You will work across teams to optimize performance for large datasets, with a strong emphasis on testing, data freshness, and reliability in a hybrid environment requiring in-office