Data System Engineer

ISR Recruitment; Manchester; Remote; GBP 45,000 - 65,000; Full time

Job summary

A leading company is seeking a Data Federation Engineer for a six-month contract role focused on secure data exchange across organisations. The candidate will work on designing and implementing a federated data-sharing platform, requiring expertise in technologies like Apache Kafka and Java. Strong experience in frameworks such as Spring Boot, along with Python skills for automation, is essential. The ideal candidate will have familiarity with public sector work and priority given to compliance and data sovereignty.

Qualifications

• Strong, hands-on experience with Apache Kafka.
• Proficiency in Java, especially with microservices.
• Solid experience in Python for scripting and automation.

Responsibilities

• Design, implement, and operationalise a federated data-sharing platform.
• Support public sector collaboration and digital transformation.
• Deploy decentralised data solutions prioritising secure access and compliance.

Skills

Apache Kafka

Java

Python

Data privacy and security compliance

Experience in public sector

Job description

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ISR Recruitment provided pay range

This range is provided by ISR Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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The Opportunity:

We are seeking a technically proficient and strategically minded Data Federation Engineer to join a high-impact programme focused on enabling secure, decentralised data exchange across organisational boundaries. This role is integral to the design, implementation, and operationalisation of a federated data-sharing platform, supporting public sector collaboration, digital transformation, and cross-entity interoperability.

Skills and Experience:

• Strong, hands-on experience with Apache Kafka – including producer/consumer patterns, topic management, and streaming architecture.
• Proficiency in Java – with a background in building secure, scalable microservices (preferably with Spring Boot or equivalent frameworks).
• Solid experience in Python – particularly for scripting, automation, and data processing tasks.
• Demonstrated experience in deploying federated or decentralised data solutions that prioritise secure access, data sovereignty, and compliance.
• Familiarity with working in or alongside public sector organisations or regulated environments (desirable).

Role and Responsibilities:

• Strong, hands-on experience with Apache Kafka – including producer/consumer patterns, topic management, and streaming architecture.
• Proficiency in Java – with a background in building secure, scalable microservices (preferably with Spring Boot or equivalent frameworks).
• Solid experience in Python – particularly for scripting, automation, and data processing tasks.
• Demonstrated experience in deploying federated or decentralised data solutions that prioritise secure access, data sovereignty, and compliance.
• Familiarity with working in or alongside public sector organisations or regulated environments (desirable).

NB: Candidates must be eligible for BPSS security clearance which will processed following successful interviews (7-10 days).

Applications:

To learn and understand more about our client’s new six month contract role operating as a Data Federation Engineer on a remote-working basis here in the UK; please call and speak with Edward Laing here at ISR on 07436 071 872 or please email me a copy of your latest CV ([e-mail]) for an immediate call back in the very strictest of confidence.

Please call Edward here at ISR on 07436 071 872 to learn more about our client and how they are leading the way in developing the next-generation of technical solutions through innovation and transformational technology?

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  Information Services, IT System Data Services, and Data Infrastructure and Analytics

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