Top Data Jobs in Belfast

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

As a Data Engineer, you will design, develop, and maintain data pipelines, model data, ensure quality, and collaborate with stakeholders to meet business needs.

Lead and mentor a multidisciplinary team to build and scale reconciliation systems, ensuring data accuracy and reliability across payment ecosystems.

As a Data Scientist at Wave, you will optimize user initiatives, perform advanced analytics, and develop machine learning solutions to enhance user engagement and business impact.

Lead the design and implementation of high-performance kdb+ architectures for financial institutions, while mentoring junior developers and driving innovation.

The kdb+ Developer will collaborate with users to define requirements, develop and maintain code, analyze data, mentor juniors, and support project delivery.

Lead the delivery of kdb+ solutions for financial institutions, collaborating with teams to design architectures and mentor developers.

The Senior Director Analyst will conduct research and analysis in data management, focusing on trends, best practices, and emerging technologies, while supporting sales and client engagement.

As a Data Scientist at Ziplines, you will develop data models, create dashboards, and deliver insights to influence strategic decisions across teams.

The Data & Insights Analyst will provide analytical expertise to support Go-To-Market initiatives, optimize business models, and facilitate strategic decision-making through data-driven insights.

The role involves leading generative AI solutions, collaborating with clients, developing NLP applications, and contributing to AI methodologies at Ascent.

As a Data Analyst, you'll leverage data to identify growth opportunities, conduct A/B tests, and communicate insights across teams to shape strategies effectively.

Lead the Data Conversion workstream, coaching junior consultants and managing Workday project delivery while ensuring client satisfaction and internal growth.

Lead validation and automation of data pipelines and ETL workflows, ensuring data integrity and performance across cloud-native platforms. Collaborate with teams to design, build, and maintain test frameworks, while mentoring peers and enhancing best practices in data testing and automation.

The Senior Software Engineer in Test will validate and automate the quality of data pipelines and ETL workflows, ensuring data integrity and performance in a cloud-native SaaS platform.

Lead validation and automation of data pipelines and ETL workflows, ensuring quality and reliability of data across cloud-native platforms. Collaborate with teams to implement automated testing and integrate quality checks into CI/CD pipelines.

Lead validation and automation of data pipelines, ensure data quality, and collaborate on building robust testing frameworks for cloud-native applications.

The Senior Software Engineer in Test will validate and automate data pipelines and ETL workflows, ensuring data quality and performance across cloud-native platforms. Responsibilities include designing test frameworks, enforcing quality standards, and collaborating across teams for scalable, reliable solutions.

Lead validation and automation of data pipelines and ETL workflows, ensuring data quality and performance across cloud-native platforms. Collaborate with teams to maintain automated test frameworks and quality gates.

Develop machine learning models, feature engineering, validate performance, and generate actionable insights while collaborating across teams.

The Data Architect will design data architecture, establish standards, optimize performance, and collaborate with engineering teams to enable AI/ML and analytics at scale across various platforms.

Lead the Data Integrations domain, focusing on data connectors lifecycle and evolving the data integration platform. Ensure reliability and continuous improvement of connectors for enterprise customers.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

Lead mechanical engineering projects in data centers, ensuring quality, client satisfaction, and project objectives are met while mentoring and managing teams.