Software Development Engineer (Data Integration) at Zynk
NUTN4, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

26 Aug, 25

Salary

50000.0

Posted On

26 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Git, Data Models, Json, Soap, Rest, Graphql, Xml

Industry

Information Technology/IT

Description

ESSENTIAL SKILLS & EXPERIENCE:

  • Proven C#/.NET development experience.
  • Expert knowledge of XML, XSD, XSLT 2.0/3.0, JSON, and related transformation libraries.
  • Solid understanding of canonical data models, schema design, and common B2B integration protocols (REST, SOAP, GraphQL, FTP/SFTP, EDI).
  • Hands‑on experience with message queuing or event streaming technologies (e.g., RabbitMQ, Azure Service Bus).
  • Proficiency with GIT, CI/CD pipelines, and automated testing frameworks.Strong analytical and problem‑solving skills with a passion for clean, maintainable code.
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Responsibilities

ABOUT THE ROLE:

As a Software Development Engineer you will design, build, and maintain integration workflows on the Zynk Workflow Integration Platform as a Service (iPaaS). You will leverage your expertise in C#, XML/XSLT, JSON, and modern data‑integration patterns to deliver robust, scalable solutions that connect e‑commerce, CRM, accounting, and other business systems for our customers.

KEY RESPONSIBILITIES:

  • Workflow Design & Development – Author, optimise, and document workflows in Zynk Workflow Studio, orchestrating complex data flows that transform, enrich, and route information between disparate systems.
  • Component Engineering – Extend the Zynk platform by developing new C# task adapters, connectors, and utilities that integrate REST/SOAP/GraphQL APIs, databases, and file systems.
  • Data Transformation – Craft reusable XML schemas, XSLT stylesheets, and JSON mappings to translate between canonical and application‑specific data models.
  • Integration Delivery – Apply integration patterns such as publish/subscribe, request/reply, file‑drop, and event‑driven processing across on‑premises and cloud endpoints.
  • Quality & Observability – Implement integration tests, configure logging and metrics, diagnose performance bottlenecks, and ensure SLAs are consistently met.
  • Collaboration – Partner with Solution Architects, Support Engineers, and end‑users to gather requirements, provide estimates, and iterate rapidly on feedback.
  • Continuous Improvement – Contribute to coding standards, documentation, and internal knowledge‑base articles; mentor junior engineers and champion best practices.
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