Principal Data Engineer Location: Belfast | Hybrid Type: Permanent | Full-time Overview Were 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. Youll take ownership of data systems that enable fast, accurate insights ,supporting teams across trading, risk, and operations. The Opportunity Youll 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. Youll 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 510 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 Whats 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.