Software Engineer
Summary
Hands-on Software Engineer in Belfast building and scaling enterprise-grade cloud, API, and data systems — Java/Spring microservices plus Spark, Kafka, and Databricks data pipelines. Includes technical leadership, mentoring, and rotation across client engagements in banking, fintech, and regulated industries.
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