Top Data Jobs in Belfast

The Assistant Professor will develop an internationally recognised research programme, publish impactful work, secure external funding, and build industry partnerships. Responsibilities include designing and delivering undergraduate and postgraduate teaching, curriculum development, student assessment, PhD supervision, mentoring, knowledge transfer, enterprise, outreach, and departmental administration. The role also involves contributing to equality, diversity, inclusion, strategic initiatives, and a supportive academic community.

Leads client and account data analysis across enterprise ecosystems, serving as the subject matter expert for data flows, lineage, governance, and quality. Performs advanced SQL analysis, reconciliation, profiling, and root-cause investigation; documents data models and source-to-target mappings; translates business needs into technical requirements; and leads UAT, data migration validation, and quality initiatives. Partners with business, compliance, operations, engineering, and governance teams to improve data accuracy, regulatory compliance, and reporting.

Maintains customer sub-accounts, product pricing setups, client and product reference data, and settlement instructions across systems. Coordinates globally to ensure consistent data models, verifies regulatory and control requirements for institutional accounts, resolves complex processing issues, and supports projects and escalations. Applies analytical judgment, risk awareness, and compliance practices while delivering accurate and timely operational services.

Maintains customer sub-accounts, product pricing setups, reference data, and settlement instructions across multiple systems. Coordinates with global operations teams to ensure data consistency, verifies regulatory and control requirements for institutional client accounts, handles escalations, supports projects, and manages routine processing while safeguarding compliance and operational accuracy.

Leads enterprise Client and Account data analysis, architecture, lineage, governance, quality, and reconciliation. Uses advanced SQL across multiple database platforms to investigate data issues, validate migrations, and design quality frameworks. Translates business needs into technical requirements, specifications, user stories, and test cases while coordinating UAT and Agile delivery. Partners with business, compliance, operations, engineering, and governance teams on data standards, metadata, privacy, and regulatory reporting.

Develops and supports SAS programming for clinical trial data management, including pre-database lock programming, data imports, reconciliation, data transfers, reporting, cleaning, documentation, and process improvements. Ensures high-quality, timely outputs compliant with protocols, SOPs, Good Clinical Programming Practices, CDISC standards, and sponsor or regulatory requirements.

This is an expression-of-interest registration for future opportunities at the developing Derry Campus. No specific role is currently available, and registering does not constitute a job application. Submitted details will help identify local skills and may be used to contact individuals about relevant positions when roles are advertised.

Leads development and optimization of complex Ab Initio ETL applications supporting Citi’s Oracle General Ledger. Collaborates with finance users and technology teams, manages the SDLC in Agile environments, investigates data issues using SQL and Oracle, develops automation utilities, performs testing, supports implementations, and resolves production defects. The role requires technical leadership, strong financial technology experience, and expertise in data engineering, RDBMS, UNIX, shell scripting, and Jira.

Leads data strategy and architecture for fund accounting, administration, ETFs, IBOR, ABOR, regulatory reporting, and client reporting. Designs data models, warehouses, lakes, integration patterns, governance, lineage, metadata, and reporting structures. Gathers requirements, supports implementation, evaluates technologies, and partners with fund operations, accounting, reporting, and engineering stakeholders. Requires extensive financial services and funds-domain expertise, strong SQL and database skills, and leadership experience.

Support enterprise data governance and data risk initiatives by monitoring issues, ownership, corrective actions, controls, metrics, and reporting. Coordinate with business, technology, risk, legal entity, regulatory, and regional stakeholders. Contribute to governance strategy, risk taxonomy, control framework design, policy development, self-assessments, and communication of progress and risks to senior forums and regulators.

Design, develop, test, and implement Python backend services, ETL pipelines, and batch or real-time processing components for an enterprise reference data platform. Architect and optimize Oracle databases, SQL queries, and PL/SQL packages while improving performance, scalability, and reliability. Integrate master reference data, support CI/CD and automated testing, troubleshoot production issues, and ensure governance compliance. Collaborate with business and technology teams, participate in Agile delivery, and mentor junior developers.

Own derivatives documentation and collateral data workflows within Master Agreement Central. Analyze contractual terms, resolve data issues and margin breaches, validate collateral schedules, support audits, and coordinate cross-functional technology and product initiatives. Contribute to MAC strategy, platform maintenance, workload planning, and stakeholder communications across margin operations, risk, technology, and client onboarding.

Manage market data service requests, subscriptions, and inventory changes through Optimize Spend while meeting SLAs. Coordinate with internal stakeholders, Business Advisors, Procurement teams, and external vendors. Reconcile vendor services and inventories, identify discrepancies, maintain data accuracy, and support expense integrity. Improve operational processes through automation and AI tools, and contribute to strategic initiatives and cross-functional deliverables.

Develop and enhance Citi’s trade cost analytics platform, delivering trade, expense, volume, and product analysis. Reconcile trade expenses against third-party invoices, calculate trading fees, identify process improvements, and improve cost-reporting transparency. Partner with trading desks, business management, operations, and technology teams to gather requirements, define metrics, and deliver platform enhancements through the software development lifecycle.

The Senior Data Platform Engineer will manage Databricks infrastructure, develop cloud systems, collaborate with teams, and enhance machine learning workflows.

Develop and maintain high-performance kdb+ applications for capital markets clients. Collaborate with business users to define requirements, analyze large-scale time-series data, produce reports, support project delivery, and contribute to testing, documentation, mentoring, and continuous improvement. The role requires hands-on q and kdb+ development in Unix/Linux environments, with opportunities to work alongside experienced specialists and advance technical and leadership skills.

Lead delivery of high-performance kdb+ solutions for capital markets clients. Design scalable architectures handling billions of time-series data rows, collaborate with quants and traders, mentor developers, and own the full development lifecycle. The role requires deep q and kdb+ expertise, technical leadership, Unix/Linux proficiency, and experience in capital markets or investment banking.

Lead technical delivery for capital markets clients by designing, implementing, scaling, and maintaining high-performance kdb+ architectures handling large time-series datasets. Collaborate with quants, traders, and analysts, translate business requirements into performant q code, mentor developers, and drive technical innovation across the full development lifecycle.

Own enterprise customer programs from contract signature through expansion, leading delivery teams, milestones, stakeholder communication, adoption, and change management. Partner with sales and customer success to scope engagements, identify expansion opportunities, and translate executive goals into executable AI implementation plans. Serve as the customer advocate internally while guiding solutioning across model development, deployment, governance, and enterprise data science workflows.

Supports Finance and Go-To-Market departments by designing data recording systems, monitoring data quality, enforcing governance, analyzing large datasets, producing concise reports, and recommending process improvements. The role translates complex findings into actionable insights for non-technical stakeholders and supports Sales, Marketing, and Customer Success objectives.

Lead a team of 10 Data Security Specialist Account Executives across EMEA and APJ. Responsibilities include recruiting and coaching sales talent, managing regional business plans and forecasts, collaborating with sales, marketing, product, services, and partners, and driving revenue attainment. The role requires software or security sales experience, data security leadership, regional management, C-level selling, and familiarity with AI/ML technologies.

Leads electrical engineering and construction administration for data centre projects. Responsibilities include project planning, technical design, specifications, estimating, cost control, reporting, client presentations, site inspections, contractor coordination, and multidisciplinary team leadership. The role also mentors engineers, supports proposals, manages deadlines, and delivers electrical solutions across medium- to large-scale projects.

Lead mechanical engineering delivery for complex data centre projects across multidisciplinary and international teams. Provide technical leadership, collaborate across geographies, support permitting and construction methodologies, manage multiple projects, and contribute to AECOM’s data centre thought leadership and strategic growth. The role requires strong knowledge of building systems and regulations, client communication, digital design workflows, and data centre design and delivery.

Design and coordinate electrical services for data centre projects, managing delivery on small and mid-sized projects and assigned components of larger projects. Provide technical input, develop client solutions, prepare proposals and feasibility reports, attend coordination and site meetings, and liaise with clients, contractors, suppliers, and multidisciplinary teams. The role requires data centre or industrial facilities experience, professional accreditation, relevant electrical engineering qualifications, and willingness to travel.

Leads digital delivery for hyperscale data centre projects, implementing BIM execution plans, ISO 19650 standards, common data environments, multidisciplinary coordination, model quality controls, and digital reporting. Oversees regional and global teams, manages project information and deliverables, monitors KPIs, supports 3D/4D/5D integration and digital handover, and identifies automation and AI opportunities. The role also engages clients and stakeholders, resolves delivery issues, contributes to bids and resource planning, and supports training and knowledge sharing.