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# Data Engineer

- **Company:** Citywire
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, BigQuery, Cloud Computing, Cloud Engineering, Databases, Continuous Integration, Information Engineering, Software Debugging, Software Design Patterns, Amazon DynamoDB, Fault Tolerance, PostgreSQL, Linux System Administration, NoSQL, SQL Databases, Apache Spark, Backend, Git Flow, Apache Kafka, Functional Programming, Amazon Simple Queue Service (SQS), Terraform
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815457954-data-engineer

## About the Role

* Technical Skills: Proven experience in data engineering or backend development, with solid Python skills and hands-on use of AWS event-driven services.
 * Event-Driven Knowledge: Understanding of DLQs, retries, buffering, idempotency, and resilient design patterns.
 * Cloud & CI/CD Experience: Familiarity with Terraform, Git-based workflows, and cloud-native deployments.
 * Database Skills: Experience with SQL and NoSQL databases such as PostgreSQL, DynamoDB, or OpenSearch.
 * Problem-Solver: Comfortable working in Linux environments and confident debugging logs, scripts, and production issues.
 * Additional Skills: Exposure to Kafka, Spark, or dbt Core, with an interest in domain-driven data contracts.

We cover - and connect - all sides of the $100 trillion global asset management industry - through our news, events and insights.

## Description

* Build and maintain event-driven data pipelines that power Citywire's Catalyst platform.
 * Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge.
 * Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery.
 * Modernise legacy batch processes into stream-first architectures.
 * Build and integrate APIs to enable smooth publishing and consumption of events across systems.
 * Collaborate with engineers on greenfield and existing projects, balancing speed with resilience.
 * Take ownership of key pipelines and services, ensuring reliability, performance, and scalability.
 * Share best practices and mentor others in event-driven data engineering.


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