Top Data Jobs in Belfast

Owns the integration and analysis of people, security, technology, fraud, physical security, investigation, and governance data to identify insider-risk patterns. The role produces actionable intelligence, supports investigations, strengthens controls, and develops monitoring, automation, governance, and reporting capabilities. It requires influencing senior stakeholders, translating complex findings into business outcomes, and making risk-based recommendations amid ambiguity.

Delivers data governance initiatives by gathering requirements, documenting processes and data flows, supporting Microsoft Purview adoption, and improving data quality. Works with data owners, stewards, technical teams, and senior stakeholders to define governance processes, metadata standards, business glossaries, ownership models, controls, and quality metrics. Facilitates workshops, translates business needs into requirements and user stories, investigates data issues using SQL and profiling outputs, and communicates risks, dependencies, and decisions.

Analyze transactional data to detect and prevent financial crime, manage AML alerts, build SQL-based models and dashboards, and improve transaction monitoring and customer risk-rating controls. The role owns financial crime operations capacity planning, models scenarios, identifies data-led improvements, and presents insights to business leaders while collaborating with Product, Compliance, and cross-functional stakeholders.

Own the data platform product roadmap, including multi-chain ingestion, on-chain parsing, token and market data, APIs, datasets, analytics tools, governance, quality monitoring, and metric frameworks. Partner with engineering, backend, algorithm, BI, risk, growth, and business teams to deliver reusable data products. The role requires substantial product management experience, hands-on Web3 knowledge, understanding of blockchain data models, SQL proficiency, and familiarity with data infrastructure and analytics tooling.

Performs data-heavy functional, regression, and User Acceptance Testing for Finance change initiatives. Designs test cases from requirements and acceptance criteria, validates data using complex SQL and Excel, logs and tracks defects, supports issue resolution, and reports testing progress. Works closely with subject matter experts, business users, and delivery teams in a regulated banking environment.

Build and maintain scalable surveillance data pipelines for trade, communications, market, reference, and alert data. Implement data quality checks, reconciliation, monitoring, governance, lineage, auditability, retention, and recovery strategies. Develop AWS infrastructure with Terraform or CDK, write automated tests, investigate data anomalies, and collaborate with engineering, compliance, surveillance, and infrastructure stakeholders to meet regulatory requirements.

Build and maintain automated cloud data solutions, scalable ETL pipelines, and data warehouses. Own complex backlog tasks, promote code quality through reviews and pair programming, and use experimentation to improve solutions. Support analytical tools that deliver actionable insights, operational efficiencies, and business performance metrics. Requires strong experience with Azure or other cloud data technologies, data warehousing, ETL, Databricks, SQL, Python, and Spark.

Build and maintain automated cloud-based data solutions and scalable ETL pipelines. Design end-to-end data architectures, use Databricks, SQL, Python, and Spark, and ensure reliable, high-quality data delivery. Own complex backlog tasks, support code quality through reviews and pair programming, and experiment with innovative solutions. Help develop analytical tools that enable data-driven decisions, operational efficiency, and improved business performance.

Design, build, and own scalable data pipelines from ingestion through analytics and incentive payouts. Lead data platform architecture, including Snowflake, dbt, Iceberg, and S3 workflows. Establish data quality, lineage, observability, performance, cost, and SLA standards. Partner with engineering and analysts to support telematics accuracy and driver incentive reporting. Develop maintainable data models and transformation layers while using AI coding tools to improve development speed and quality.

Build and evolve CluePoints’ enterprise data platform using Microsoft Fabric and Azure. Responsibilities include migrating Azure SQL and ADF workloads, integrating SaaS and web data, developing scalable ingestion and transformation pipelines, maintaining Kimball dimensional models, and establishing CI/CD, data quality, lineage, security, and monitoring. The role partners with analytics leadership and supports trusted Power BI reporting across multiple business functions.

Own and develop the company’s Power BI reporting environment, including semantic models, dashboards, advanced DAX, Power Query transformations, governance, deployment, and performance optimization. Collaborate with Data Engineering and business stakeholders to define KPIs, validate data, improve reporting quality, and deliver scalable BI solutions. Support data architecture, data quality, ad hoc analysis, and continuous improvement across enterprise reporting assets.

Define and govern ABB’s enterprise-wide data and information architecture. Establish data domains, models, standards, interoperability patterns, and governance processes while enabling lakehouse, data mesh, analytics, and AI initiatives. Ensure compliance with privacy, security, and data sovereignty requirements. Collaborate with architects, platform teams, and business stakeholders across a decentralized organization, guide adoption, support architecture reviews, and coach domain and solution architects.

Build and maintain cloud software for a Customer Data Platform, delivering complex features from design through production. Lead technical delivery, design scalable solutions, improve code quality, testing, observability, reliability, and security. Collaborate with Product, Design, and adjacent engineering teams, participate in on-call support, contribute to planning and roadmap discussions, and mentor engineers.

Build, maintain, and release reliable cloud software for the Customer Data Platform. Lead complex feature delivery, make architectural decisions, improve code quality, testing, observability, security, and operational reliability. Collaborate with Product, Design, and adjacent engineering teams, participate in on-call support, contribute to planning and OKRs, and mentor engineers through pairing, reviews, and technical guidance.

The Enterprise Account Executive will drive new enterprise revenue, engage with senior decision-makers, and execute growth strategies for Data and AI training solutions.

Lead the architecture and scaling of Overstory’s data platform for AI-powered vegetation analysis. Design and operate large-scale geospatial and temporal data pipelines, orchestration systems, event-driven workflows, service-oriented architecture, data quality frameworks, and observability practices. Drive architectural standards, system design, scalability, reliability, and traceability while mentoring engineers and collaborating with data, ML, and product teams.

Own GTM and sales analytics across pipeline performance, forecasting, funnel conversion, win/loss analysis, lead and account scoring, territory planning, quota modeling, and capacity planning. Partner with RevOps, Sales, Product, Finance, and Analytics Engineering to improve metric definitions, Salesforce and product data models, dashboards, and decision-making. Translate complex analysis into clear recommendations for GTM leadership.

Collect, clean, validate, and analyze data using Excel, SQL, Power BI, and Microsoft Fabric. Create dashboards, reports, visualizations, KPI reporting, and actionable recommendations for business and client decision-making. Collaborate with analysts, consultants, and stakeholders, present findings clearly, maintain reporting solutions, and support data quality and project delivery. The role offers early-career development in data analytics and consulting.

Designs and delivers scalable data pipelines and Lakehouse architectures using Databricks, Spark, PySpark, and Delta Lake. The role covers ETL/ELT, data governance, security, quality, performance optimization, cloud integration, and CI/CD. It involves technical leadership across customer programmes, architectural decision-making, stakeholder collaboration, mentoring, and supporting reliable production data solutions.

Build and maintain reports, dashboards, and data visualizations using Power BI or Tableau. Extract and analyze data from SQL databases and Excel files, explain findings to teams and clients, troubleshoot reporting issues, and automate repetitive tasks. The role requires strong SQL skills, BI tool expertise, and conversational English for remote collaboration with global clients across varied industries.

Build and maintain reliable data pipelines using Python and SQL. Integrate REST APIs, databases, files, cloud storage, and third-party platforms; process and load data into warehouses for analytics and BI. Implement incremental and fault-tolerant loading, logging, monitoring, retries, error handling, and data quality checks. Work with ETL/ELT, Git, and potentially dbt, Spark, orchestration tools, cloud platforms, Docker, dimensional modeling, and BI datasets.

Deliver a portfolio of strategic transformation projects spanning infrastructure, business systems, data, insight, and AI. Coordinate plans, stakeholders, technical teams, suppliers, budgets, risks, procurement, benefits, and timelines across complex local government environments. Support the Data, Insight and AI programme, promote innovation and continuous improvement, and build relationships that enable successful change and adoption.

Lead consulting engagements for defence, government, national security, and regulated-sector clients. Responsibilities include discovery, stakeholder workshops, digital and data strategy, target operating models, architecture, transformation roadmaps, AI and analytics opportunities, data governance, client deliverables, and proposal support. The role requires translating complex business and technical challenges into practical recommendations and measurable outcomes while influencing senior stakeholders and collaborating with multidisciplinary teams.

Supports clinical research studies, primarily type 1 diabetes projects, by administering and validating research data, maintaining databases, running queries, coding medical information, producing reports, and resolving data discrepancies. The role also manages study documentation, literature and bibliographic databases, participant testing kits, supplies, quality checks, and study communications. It develops procedures, tests database applications, supports Good Clinical Practice compliance, and provides cover for study coordinators while helping supervise junior staff.

Analyze player behavior and live-game performance across retention, engagement, progression, funnels, cohorts, churn, and monetization. Build dashboards, define KPIs, investigate anomalies, and communicate insights clearly. Own the internal game analytics platform, ensuring reliable event tracking, consistent metric definitions, and accessible performance views. Collaborate with developers and potentially help transform the platform into a public Roblox analytics product.