Top Data Jobs in Belfast

Lead commercial strategy for digital & technology suppliers, advise senior stakeholders, drive complex negotiations across cloud, SaaS, data and digital services, design commercial models and risk frameworks, and source market insights to build strong supplier partnerships.

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.

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.

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.

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.

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.

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.

Join a growing OneTick product team to build Python applications, data pipelines and integrations. Learn OneTick, implement solutions in client environments, troubleshoot production issues, collaborate with stakeholders, and deliver scalable, production-ready data-driven solutions for international capital markets clients.

Support end-to-end recruitment and talent pipeline management, maintain talent databases, produce recruitment reports and dashboards, conduct market mapping and competitor benchmarking, analyze people data for insights on attrition and headcount, coordinate candidate communications, and contribute to employer branding and People strategy.

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.

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.

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.

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.

As a Data Scientist, you will design and deliver bespoke AI solutions, work with clients on project feasibility, and ensure delivery excellence while acting as a technical advisor.

Build and maintain a near real-time financial dashboard by integrating market and forecast APIs, automating financial models, and crafting clear visual narratives using Flourish and Canva. Collaborate with design and marketing partners, ensure data accuracy and performance, and optimize data flows across multiple feeds.

Deliver end-to-end data science projects: build and deploy ML/NLP and generative-AI solutions, design scalable data pipelines, integrate cloud services and APIs, implement RAG/vector-search applications, and collaborate with cross-functional teams to produce reusable tools and client-facing products.

This role involves analyzing complex datasets, developing metrics, building dashboards, and collaborating with teams to enhance fraud detection strategies using ML models.

The Account Manager for Data Services will generate business opportunities, manage complex sales cycles, and nurture key relationships, particularly within regulated industries. This role involves collaboration with internal teams and the provision of ongoing client support post-sale.

Build and deliver internal data tools and platforms, support ingestion systems and promote operational excellence in a collaborative environment.