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MPA Recruitment

Belfast / Global

Software Engineer

Job Description

MPA are partnering with an elite Canadian tech firm expanding into Belfast to hire a hands-on Software Engineer to build and scale enterprise-grade cloud, API, and data systems.

This role is ideal for engineers who thrive on solving complex, production-scale challenges, from streaming pipelines to cloud-native microservices, and enjoy technical leadership and mentoring alongside deep coding work.

The Role

You’ll work across the full stack of cloud and data systems — designing, implementing, and optimizing backend services and data pipelines. You’ll collaborate with cross-functional teams and rotate across domains, gaining exposure to new technologies, industries, and enterprise use cases.

This is not a single-domain or purely backend role. Strong production experience in both data engineering and cloud/software architecture is essential.

Key Responsibilities

  • Design and build scalable backend systems using Java, Spring, and multi-threaded architectures
  • Build and maintain distributed data pipelines with Spark, Kafka, Databricks, and Iceberg
  • Develop microservices interacting with streaming and batch data sources
  • Integrate backend services with React-based frontends
  • Modernize and migrate legacy systems to cloud-native infrastructure
  • Lead architectural decisions and mentor junior/mid-level engineers
  • Rotate across client engagements in banking, fintech, and regulated industries

Required Experience

  • Strong commercial experience in software/data engineering roles
  • Advanced Java skills, multi-threading, and microservices architecture
  • Deep experience with Spark, Kafka, Databricks, and big data pipelines
  • Solid SQL knowledge and experience with Parquet and large-scale data formats
  • Familiarity with Hadoop-based ecosystems, data orchestration, and CI/CD
  • Experience integrating backend services with frontend applications

Highly Desirable

  • Experience with Dremio or other data lake query engines
  • Exposure to AI/LLM-based data workflows
  • Experience in regulated industries (finance, insurance)
  • Experience leading small technical teams

Why Consider This Role?

  • Work on production systems that serve millions of users
  • High autonomy with technical ownership and impact
  • Exposure to diverse client projects and cutting-edge tech
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