Top Data Jobs in Belfast

Own commercial growth for a strategically important enterprise account: build executive relationships, execute multi-year account plans, win new business, translate technical propositions into commercial cases, manage account marketing and governance, maintain pipeline and forecasting, and coordinate local GTM teams to drive predictable revenue growth.

Support Product and Senior Product Managers to design, prioritise and deliver colleague-facing digital and voice-enabled store experiences. Manage backlogs, write user stories, collaborate with engineering, UX, data and suppliers, gather colleague feedback, and contribute to AI-powered, voice-led solutions to improve store operations and colleague experience.

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.

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.

Lead the development and execution of the NA digital transformation and data strategy, enhancing capabilities in AI and digital technologies across the business.

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.

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

Lead data-driven insight generation for Investment Banking Operations by analyzing large trade and workflow datasets. Build scalable analytics workflows, dashboards, and quantitative solutions (SQL, Python, Looker) to improve efficiency, reduce risk, and inform strategic interventions. Collaborate with business, technology, and product teams and help evolve reactive analyses into preventative AI/ML tooling.

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.

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.

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

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.

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.

Lead design, development, and optimization of high-performance ETL pipelines using Ab Initio for Oracle ledger processing. Collaborate with business and cross-functional teams, drive SDLC within Agile, perform SQL-based data investigations, build automation utilities, monitor/resolve production issues, and manage testing and deployments.

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.

Develop and enhance bespoke Python backend services, collaborate with clients on architecture and design, implement best-practice solutions, use appropriate tools/frameworks, write automated tests, manipulate complex datasets, share knowledge, and work in cross-functional teams to deliver clean, efficient software.

Provide timely, risk-based legal advice on data protection, FOIA, PECR and NIS matters; manage caseloads; ensure legally accurate ICO guidance; represent ICO externally; supervise and develop legal staff; liaise with external counsel and internal stakeholders.

The Data & Analytics Systems & Operations Analyst oversees licensing and reporting processes, ensuring product and policy changes are accurately implemented and optimizing customer insights and invoicing integrity.

The Data Engineer role involves implementing and optimizing SaaS data products, designing integration patterns, and providing technical leadership while collaborating with stakeholders.

Lead mechanical delivery for hyperscale and co-location data centre projects across the UK and EMEA. Drive technical excellence, client relationships, work winning, team leadership, project financials, and represent AECOM in the data centre community.

The role involves conducting data analysis, developing models, and communicating findings to both technical and non-technical audiences while working with clients to meet their analytical needs.

This role involves developing and maintaining kdb+ applications, collaborating with business users, and mentoring junior developers in a dynamic team environment.

As a Senior kdb+ Engineer, you will lead technical delivery, design kdb+ architectures, mentor developers, and drive innovation in high-performance systems.

As a Senior kdb+ Engineer, you'll lead client projects, design kdb+ architectures, mentor developers, and drive technical innovation in high-performance data systems.