Data Test Engineer (Banking, Kafka, MongoDB, API, Migration) at Deloitte, London, to 12/26, £Contract Rate

Contract Description

Data Test Engineer - (Banking, Kafka, MongoDB, API, Migration)

 

Rate: Competitive Inside IR35

Contract Start - Immediate

Contract End - December 2026

Location: London (2/3 days Hybrid)

 

** Must have experience within the Banking industry **

 

We are seeking a skilled Data Test Engineer to join our team responsible for validating the quality, reliability, and performance of Direct-to-Consumer (D2C) Reporting APIs delivered on the Operational Data Store (ODS) platform. This role is critical in ensuring robust and accurate data processing through comprehensive testing of Java-based APIs, event-driven streaming pipelines, and data persistence layers.

 

Key Responsibilities

 

  • Design, develop, and execute functional, integration, and non-functional tests for D2C Reporting APIs.
  • Validate data accuracy and event flows within event-driven streaming pipelines using Kafka, Flink, and Kafka Streams.
  • Test data persistence and integrity in MongoDB databases.
  • Implement automated testing frameworks and quality controls to support production readiness.
  • Collaborate with development and operations teams to ensure seamless deployment and performance on OpenShift platform.
  • Identify, document, and track defects and issues, ensuring timely resolution.
  • Contribute to continuous improvement of testing processes and tools.

 

Required Skills and Experience

 

  • Must have proven experience within the Banking industry.
  • Strong experience testing Java-based APIs.
  • Strong knowledge of event-driven streaming technologies such as Kafka, Flink, and Kafka Streams.
  • Experience with data persistence testing in MongoDB.
  • Familiarity with automated testing tools and frameworks.
  • Experience working with containerized environments, preferably OpenShift or Kubernetes.
  • Ability to design and execute comprehensive test plans covering functional, integration, and non-functional aspects.
  • Strong analytical skills with attention to detail in validating data accuracy and event flows.
  • Excellent communication and collaboration skills.

 

 

 

 

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