Top Data Jobs in Belfast

The Principal Product Specialist will drive sales strategy, manage Proof of Concept processes, and facilitate customer engagement for DSPM solutions across EMEA, ensuring product evolution based on customer feedback.

As a Payroll Operations Specialist, you will prepare payroll inputs, manage data integrity, support statutory data preparation, and collaborate on compliance issues.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

Lead clinical trial disclosure strategy and operations for Pfizer-sponsored interventional trials. Ensure timely, compliant posting of protocols, SAPs, CSRs, and clinical summaries per EMA Policy 70 and other regulations. Manage vendors, develop processes and technical solutions, represent Medical Writing on governance committees, and maintain regulatory knowledge and best practices to drive quality and consistency across disclosures.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

Design, build and deploy AWS-based production data pipelines, data warehouses and lakes. Ingest, process and curate large structured and unstructured datasets using Java/Python/Scala, Spark and SQL. Collaborate cross-functionally in agile teams, perform data extraction via APIs and scripting, and deliver scalable analytics solutions using AWS data services.

The Director of Product Management leads TRG Screen's data solutions, defines the data lakehouse vision, manages data products, and champions AI strategies while building a product management team.

As a Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile teams.

Lead regulatory change and governance activities for Reference Data Services. Manage RCAM processes, liaise with cross-functional stakeholders, provide subject-matter expertise, drive risk and control improvements, allocate resources, and coach staff to ensure operational resilience and regulatory compliance.

Design, build, and support production ETL/ELT data pipelines across a cloud data stack. Partner with engineers and analysts to deliver reliable, well‑modeled data, ensure data quality and failure handling, tune SQL and warehouse objects, and handle semi‑structured formats like JSON and Parquet.

The Data & AI Portfolio Lead drives the development and integration of Fujitsu's Data & AI portfolio in the UK, aligning with strategic objectives and managing offerings throughout their lifecycle while providing leadership to product managers.

The Software Engineer will enhance data collection and ingestion pipelines for AI model training, collaborating on dataset roadmaps and managing cloud infrastructure.

The Fraud Analyst role focuses on investigating fraud cases, collaborating with teams to improve fraud detection, and refining operational processes while ensuring data quality and participant experience.

The Senior Data Scientist will develop machine learning models for credit scoring and pricing optimization to enhance financial access for underserved customers across multiple African markets.

Lead the architectural design for a major SA-CCR/Basel III programme, developing high-performance compute pipelines and ensuring regulatory governance across exposure calculations while collaborating with stakeholders.

Lead mechanical engineering projects for data centre design and delivery, collaborating with multi-disciplinary teams and contributing to strategic growth.

The Lead Master Data Governance Systems Analyst manages master data accuracy via SAP MDG, collaborates on data integration projects, and provides technical leadership.

Lead design and delivery of enterprise data products on Databricks lakehouse, owning ingestion, transformation, and serving layers. Solve entity resolution, master data, and multi-ERP/CRM integration problems. Define engineering standards (dbt, testing, CI/CD, observability), enforce data contracts and quality, mentor engineers, and translate complex multi-system landscapes into reliable, governed datasets for analytics and downstream AI.

Design and deliver product data products on Databricks lakehouse, owning ingestion, transformation, and serving layers. Solve schema governance, identity resolution, sessionisation, and high-volume event pipelines. Define engineering standards, own data quality and contracts, and mentor engineers while translating complex event landscapes into reliable data products for analytics and AI use cases.

Lead enterprise data strategy and embed data-driven decision making across the business. Set technical direction for data architecture (Microsoft Fabric), establish governance, enable self-service analytics and executive reporting, and manage a small specialist team to deliver BI, advanced analytics, and ML-ready infrastructure.

Lead electrical design delivery for data centre projects across feasibility to handover. Define power architectures, run power systems and protection studies, integrate monitoring and controls, embed decarbonization and energy efficiency, ensure standards compliance, and coordinate multi-disciplinary teams while mentoring staff and supporting business development.

As a Data & Discovery Analyst, you will analyze data to provide insights, support pipeline development, ensure data quality, and collaborate across teams.

The Data & Analytics Systems & Operations Analyst optimizes licensing processes, manages reporting platforms, ensures invoicing integrity, and provides business insights to enhance customer experience.

The analyst will develop commercial policies and licensing constructs for CME's data products, ensuring they are legally sound and commercially intuitive while protecting IP rights.