Top Data Jobs in Belfast

As a Product Manager at Bringg, you will define product strategy, work with stakeholders, manage the roadmap, and integrate AI into logistics solutions.

Lead and deliver data-driven audit analytics: design scalable automated control tests, acquire and analyze large datasets, visualize findings, enable auditor self-service, train staff, and advance the global Audit Data Analytics program while ensuring compliance with data and technology standards.

A 10-12 month Auckland-based graduate programme where you’ll learn software engineering and digital delivery practices. Work with engineers to design, build, test and support digital banking solutions, collaborate across product and delivery teams, learn Agile, code review and testing, and explore AI and automation to improve customer outcomes.

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.

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 applied AI research and architecture for GenAI in cybersecurity: design LLM architectures, implement production-grade deep learning systems at scale, mentor scientists, set technical standards, and align AI strategy with business goals.

Lead execution of enterprise AI strategy, prioritise and scale high-value AI, automation and data initiatives, govern responsible AI practices, drive end-to-end delivery and adoption, and align stakeholders to realise measurable business outcomes.

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.

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

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

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.

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.

Lead the API-first developer experience for CME Group's external Data & Analytics distribution. Build high-performance SDKs (Python, C++), public schema registry, documentation, and cloud-native distribution. Act as technical, customer-facing liaison to translate feedback into product requirements, drive versioning, authentication normalization, telemetry, and CI/CD for publishing and governance.

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.

Design, build and deploy production data pipelines and big-data architectures on AWS. Ingest, process and curate large structured and unstructured datasets, integrate multiple sources, write ETL scripts and SQL, and collaborate with cross-functional teams to deliver data warehouse and data lake solutions.

Deliver advanced analytics and modelling across the full lifecycle, translate client needs into analytical solutions, build and test models, develop visualisations and dashboards, work with Databricks/Python/SQL/PowerBI, collaborate in agile cross-functional teams, and communicate findings to technical and non-technical stakeholders.

Lead design and implement data strategy and architectures for Funds (IBOR/ABOR, fund accounting, ETFs). Drive data modeling, governance, lineage, integration, and enable reporting while collaborating with engineering and stakeholders.

Build and deliver end-to-end data solutions on the Microsoft Azure Data Platform. Collaborate with engineers, analysts, and architects to create reliable, well-tested, automated data systems using Databricks/Spark, CI/CD, and visualization tools while contributing to standards and proofs-of-concept.

As a Data Architect, you'll lead traditional data architecture practices, provide technical guidance, manage a team, and engage with clients.

Lead design and delivery of production-grade AI/ML solutions for Kainos Workday products. Build predictive analytics, anomaly detection, generative AI features, and scalable MLOps pipelines. Integrate with Workday, mentor and line-manage a data science team, manage client engagements, and drive architectural and technical leadership across product initiatives.

Support delivery of AI/ML solutions for Workday products by applying statistical and machine learning methods, building models and visualisations, assisting deployment alongside engineers, and collaborating with senior team members to learn and deliver on client projects.

Design and deliver production-grade AI/ML solutions for Kainos Workday products, including LLM-driven features, model deployment, dashboards, and mentoring junior staff. Collaborate with engineering and clients to improve product functionality, scalability, and efficiency.

Mid-level Python Engineer to learn and implement OneTick solutions, build Python applications and data pipelines, integrate with client platforms, deliver production-ready scalable solutions, troubleshoot production issues, collaborate with stakeholders, and develop domain expertise through training and hands-on delivery. Role is Belfast-based (hybrid) with potential travel to London and New York.

Lead multi-skilled agile teams to design, build and productionise modern data solutions. Own technical architecture, collaborate with infrastructure and customer architects, define functional and non-functional designs, mentor staff, estimate delivery timelines, contribute to data community and support pre-sales technical solutioning.