Principal Data Engineer
Location: Belfast | Hybrid
Type: Permanent | Full-time
Overview
We’re hiring an experienced Data Engineer to help design and build scalable, high-performance data platforms that power decision-making, analytics, and automation across global trading operations.
This is a hands-on engineering role within a collaborative, technology-driven environment. You’ll take ownership of data systems that enable fast, accurate insights ,supporting teams across trading, risk, and operations.
The Opportunity
You’ll play a key part in evolving a modern data stack, integrating multiple data sources, building robust pipelines, and optimising data flows that support analytics, machine learning, and real-time decision systems.
You’ll work across engineering, trading, and analytics teams to ensure data quality, reliability, and scale, while driving innovation in the use of cloud and streaming technologies.
Key Responsibilities
Data Platform Development
* Design, build, and maintain secure, cloud-native data pipelines and infrastructure
* Apply best practices in CI/CD, infrastructure-as-code, observability, and automation
* Develop high-performance ingestion and transformation pipelines for structured and unstructured data
Data Integration & Transformation
* Collaborate with stakeholders across engineering, trading, and operations to define requirements
* Develop efficient ETL/ELT flows for analytics, risk, and reporting systems
* Lead data migration and integration initiatives across diverse platforms
Data Architecture & Governance
* Design and maintain databases, NoSQL systems, and data warehouses
* Implement streaming, caching, and batch systems for real-time and large-scale workloads
* Ensure compliance with data governance, metadata management, and security standards
About You
* 5–10 years’ experience in data engineering, ideally in fintech, trading, or other high-volume data environments
* Strong skills in Python, Java, SQL, bash, or PowerShell, including libraries such as NumPy, Pandas, and Matplotlib
* Solid experience with AWS (ECS, S3, Redshift, Kinesis, EMR, etc.)
* Hands-on familiarity with Kafka, Airflow, Beam, Spark, Hadoop, Snowflake, or Databricks
* Experience with DevOps, containerisation (Docker), CI/CD, and infrastructure automation
* Strong analytical mindset, excellent communication, and a collaborative approach to problem-solving
What’s on Offer
* Competitive compensation and hybrid flexibility
* Opportunity to work on large-scale, high-performance data systems
* Exposure to advanced cloud and event-driven architectures
* Collaborative, global environment focused on innovation and excellence
* Clear progression within a growing technology team
To find out more about this fantastic role and potentially be one of the first hires in NI, feel free to reach out to Ryan Quinn directly on LinkedIN. This is one of the best roles within Data Engineering, currently available in NI.
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