Top Data Jobs in Belfast

As a Data Scientist focusing on alternative data, you will analyze complex datasets, apply statistical and machine learning techniques, and develop tools for investment strategies.

Design and maintain data pipelines in AWS, ensuring data integrity and availability. Collaborate with teams to meet data requirements and optimize infrastructure performance.

The Senior Data Scientist will lead exploratory analyses, design ML models, and validate A/B testing frameworks, focusing on personalization systems and algorithmic design.

The Data Scientist will analyze B2B marketing data to drive growth, optimize campaigns, and create dashboards that track funnel health and lead scoring models.

Lead and manage multi-disciplinary design teams in delivering data centre projects, ensuring technical excellence and client satisfaction across Europe.

As a QA Contractor, you'll build automated QA solutions, deliver software solutions, and collaborate with teams to define test plans.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

As an AI Data Collector, you will capture high-quality images in various real-world environments to assist in AI system development.

The Data Manager will oversee clinical trial data management, collaborating on trial design, setup, delivery, and product development to ensure quality outcomes.

The Data Engineering Functional Lead will develop data infrastructure, drive innovation, ensure compliance, and support team growth within a healthcare tech environment.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

As a Senior Data Scientist at Ascent, you'll design, implement, and deploy machine learning models while collaborating with stakeholders to deliver data-driven solutions and enhance business operations.

The Data Engineer will design and build production data pipelines on AWS, collaborating with multiple stakeholders to process high volumes of structured and unstructured data.

As a Data/AI Engineer, you'll build scalable data systems, automate data collection with AI tools, and analyze sustainability metrics to inform consumer choices.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Senior Product Manager, you will analyze complex datasets in life sciences, translating insights into actionable strategies, collaborating with teams, and applying data science techniques to enhance product offerings.

The Data Analyst will analyze and visualize complex mobile telemetry datasets, build dashboards, and collaborate with cross-functional teams to support data-driven product insights and detection strategies.

As a Lead Data Scientist, you will design and deliver advanced AI solutions, mentor team members, and ensure responsible AI practices while driving innovation and collaboration across projects.

The C++ Developer will lead the development of low latency trading software, focusing on design, architecture, and enhancing software performance. Responsibilities include mentoring junior team members and improving project delivery.

As a Data Engineer, you will design and build data pipelines, develop data transformation layers, and create lakehouse architectures for Fortune 500 clients while ensuring data quality and collaborating with clients on data needs.

Join Wiz's Data Protection team to enhance their privacy, data protection and AI compliance program, focusing on risk management and governance.

The Senior Product Manager will define and execute the strategic roadmap for real-time data capabilities, enhancing customer cloud management through insights and response tools.

The Data Science Manager will lead a team of data scientists to develop machine learning models for credit-related solutions and promote collaborative, data-driven insights across Kuda.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The Senior Backend Engineer at ClickHouse will enhance the data onboarding platform, manage infrastructure across cloud providers, improve deployment pipelines, and contribute to architectural decisions for scalability and reliability.