Top Data Jobs in Belfast

Lead and coordinate architectural design for large multidisciplinary data centre projects across Europe. Manage technical design documentation, Revit-based workflows, quality standards, deadlines, client presentations, contractor interfaces, and design coordination across architectural and engineering teams. Apply UK building regulations and CDM safety-in-design principles while supporting technical excellence, staff development, and digital design improvements.

Leads architectural design and multidisciplinary coordination for complex data centre and infrastructure projects across RIBA stages. Reviews and approves technical documentation, ensures compliance with standards, manages design quality, budgets, deadlines, resources, and client interfaces, and mentors team members. Supports bids, business development, digital workflow improvements, and project delivery across the UK, Ireland, and Europe.

Manage market data service requests, subscriptions, and profile changes through Optimize Spend while meeting SLAs. Collaborate with internal stakeholders, procurement teams, and external vendors; reconcile vendor services and inventory to maintain data and expense accuracy. Support process improvements using automation and AI, contribute to strategic initiatives, and handle cross-functional management requests. The role requires strong Excel, analytical, organizational, communication, and prioritization skills in a fast-paced operational environment.

Designs and delivers technical components for modern data solutions, including data ingestion, streaming, distributed data applications, data stores, and cloud data platforms. The role owns architecture, estimation, technical standards, production readiness, and solution design. It involves client communication, pre-sales contribution, timeline management, and coaching team members. Candidates need strong Java, Scala, or Python skills, experience with AWS, Azure, GCP, or Databricks, and expertise in data integration and contemporary data architectures.

Lead development and enhancement of Citi's trade cost analytics platform. Design trade and cost analytics, reconciliation processes, and fee calculations. Partner with front/middle office, operations, and technology to gather requirements, translate business needs into SDLC deliverables, and deliver reporting and platform improvements to increase transparency and accuracy.

The Data Scientist will analyze complex datasets to support compliance, trade surveillance, supervisory controls, and regulatory risk management. Responsibilities include data preparation, statistical validation, visualization, stakeholder communication, data governance, control issue remediation, and delivery of sustainable analytical solutions. The role partners with Compliance, Risk, Technology, Data, and Global Markets teams, advises senior stakeholders, mentors colleagues, and independently manages complex analytical projects.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Own derivatives documentation and collateral data workflows within Master Agreement Central. Analyze contractual terms and collateral schedules, resolve data issues and margin breaches, coordinate cross-functional initiatives, support audits, and contribute to platform strategy, development, and workload planning across Markets, operations, risk, technology, and onboarding teams.

Apply AI and machine learning to large, disparate datasets to detect fraud and cybersecurity threats. Build analytic solutions in Databricks using Python, SQL, and R; automate reusable pipelines; investigate stakeholder concerns; identify process gaps; recommend remediation; and communicate findings to technical and executive audiences. The role also involves directing specialized analytics teams and applying large language models to accelerate analysis and development.

Design, build, and optimize Phantom’s streaming blockchain data platform, including scalable ETL pipelines, data models, schemas, quality frameworks, observability, and high-availability systems. The role delivers accurate, low-latency token, price, and spam data to engineering teams, collaborates cross-functionally, and contributes to team growth. Experience with backend systems, modern data engineering, and Web3 or on-chain data is expected.

Design, develop, and maintain scalable data pipelines and architectures for analytics and reporting. Perform ETL and streaming data integration, data modeling, governance, quality management, and workflow optimization across cloud and big data environments. Translate business requirements into data solutions, monitor reliability and performance, and collaborate with stakeholders to advance Walmart’s data strategy.

Analyze internal and external education data for Camden’s Education Commissioning and Inclusion division. Responsibilities include statutory SEN2 returns, calculating education performance indicators, developing dashboards and self-service data products, delivering bespoke analysis for strategic decisions, and collaborating with data engineering and architecture colleagues to develop data infrastructure.

Administer SKAN AI and ProHance platforms, develop Power BI dashboards and operational reports, analyze productivity and process data, and deliver actionable insights for continuous improvement. The role supports process discovery, automation, workflow solutions, system integrations, data modeling, and operational performance measurement. It also partners with stakeholders, provides platform guidance, develops documentation, and contributes to process optimization, capacity planning, and data-driven business decisions.

Administer SKAN AI and ProHance platforms, develop Power BI dashboards and automated reporting, analyze operational and workforce data, and identify process improvement opportunities. The role supports process intelligence, productivity analysis, workflow automation, system integrations, business application development, and data-driven recommendations. Responsibilities also include stakeholder engagement, user training, documentation, governance, platform maintenance, and translating business requirements into scalable analytics and process optimization solutions.

Build and lead engineering for a Snowflake enterprise data platform supporting banking transformation. Responsibilities include platform foundations, access controls, infrastructure as code, CDC and heterogeneous data ingestion, metadata-driven frameworks, dbt transformations, canonical and dimensional modeling, data quality, governance, orchestration with Snowflake Tasks and Dynamic Tables, monitoring, and AI-ready data products. The role partners with architects and application teams, defines engineering standards, and may lead, mentor, recruit, and coordinate a data engineering team.

Lead electrical design and engineering for data centre projects across EMEA, from concept through construction support and closeout. Manage design teams, deliverables, schedules, quality, peer reviews, value engineering, and technical decisions. Provide hands-on expertise in power distribution, transformers, UPS systems, and standby generation while mentoring engineers and coordinating multidisciplinary stakeholders. Serve as a customer-facing technical lead, supporting client and contractor meetings, site visits, installation, and commissioning matters.

Provide technical leadership for ENSEK’s data ecosystem, owning data architecture, platform strategy, roadmap, and data mesh adoption. Establish standards for event-driven architecture, schema governance, data quality, observability, lineage, metadata, security, and cost management. Design governed data-sharing interfaces for customers and partners, solve complex engineering challenges, influence senior stakeholders, and mentor engineering teams.

Provides actuarial and analytical support for pricing, reserving, due diligence, and portfolio management. Responsibilities include validating and reconciling complex datasets, investigating data discrepancies, transforming data, producing management reports, improving reporting processes, and preparing analytical exhibits. The role collaborates with actuarial, finance, claims, underwriting, and M&A teams while developing technical expertise in insurance and reinsurance analytics.

Provides clinical data management support for assigned studies, including ongoing data review, discrepancy and query resolution, data cleaning, database lock activities, regulatory documentation, and user-access administration in Medidata Rave. Collaborates with clinical and analytical teams, supports system training and troubleshooting, and ensures compliance with study protocols, data management plans, SOPs, GCP, FDA, and ICH requirements.

Supports data science projects by building models and pipelines, analyzing datasets, maintaining data quality, and communicating insights. Collaborates with product, engineering, and senior data science teams to integrate data products into production. The role offers mentorship and development while contributing to retail intelligence solutions.

Analyze Cloud Marketplace operational, commercial, transactional, pricing, and billing data to identify anomalies, workflow issues, revenue leakage, and process inefficiencies. Investigate root causes, coordinate remediation, validate quote-to-invoice integrity, build dashboards and reports, and present actionable insights. The role also owns data analysis approaches, anomaly detection, data quality improvements, and platform performance reporting while partnering with product, development, commercial, and finance teams.

Leads OneStream-based forecasting, reporting, and demand-planning capabilities for Commercial FP&A. Builds reports and dashboards, manages data reconciliations, supports month-end reporting, optimizes platform performance, and partners with administrators and implementation teams. Drives AI and automation opportunities, delivers training, and translates financial requirements into scalable technical solutions.

Build and maintain OneStream forecasting, planning, reporting, and dashboard capabilities for Commercial FP&A. Develop demand planning models, reports, reconciliations, and performance monitoring processes while supporting month-end reporting and data improvement initiatives. Partner with finance, data, administration, and implementation teams to optimize the platform, automate processes, troubleshoot performance, deliver actionable insights, and develop internal OneStream expertise. The role also evaluates AI and automation opportunities across FP&A workflows.

Senior Data Engineer responsible for designing scalable data services, engineering frameworks, and AI-enabled solutions. The role combines hands-on Python, SQL, cloud data platform, testing, CI/CD, and DevSecOps work with technical leadership, mentoring, architecture, and developer enablement using GitHub Copilot and AI-assisted tools. Experience with Snowflake and modern data technologies is required, while tools such as dbt, Airflow, Spark, Kafka, Terraform, and Azure are highly desirable.