Top Data Jobs in Belfast

As a Data Scientist at Ripjar, you will analyze data, develop and deploy machine learning models, and integrate analytics into software products.

The Senior Data Scientist will design algorithms, analyze data, develop AI models, and collaborate on innovative AI solutions for the shipping sector.

Manage a team of data engineers while contributing hands-on to the data platform development, ensuring data quality and team productivity.

As a Senior Data Scientist, you'll develop algorithms detecting driving patterns from telematics data, building scalable features and insights into production.

The Product Data Analyst collaborates with Product Managers to provide actionable insights, analyze product performance, customer behavior, design A/B tests, and develop analytics infrastructure with expertise in SQL and BI tools.

Lead the development of telematics features using mobile sensor data, guide architectural decisions, mentor team members, and ensure high-quality scalable solutions.

The Data Analyst will gather, transform, and analyze data from multiple sources to provide actionable insights through reports and visualizations.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

As a Senior Data Engineer, you will enhance the online car market by optimizing data processes, building data platforms, and leading initiatives.

Design and deliver company-wide data platform and strategy, managing AWS and Snowflake environments, and ensuring data governance.

Responsible for designing and delivering the company's data platform and strategy, managing data infrastructure, and ensuring data governance.

The Director Analyst will lead research in Master Data Management, providing insights and strategic advice to clients and developing high-quality research content.

The Data Scientist will lead complex data science projects, design analytical solutions using AI, and effectively communicate data-driven insights to stakeholders.

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.

The Senior Data Scientist will design technical solutions, develop machine learning models, and collaborate with stakeholders to drive data-informed decisions in the electric car leasing sector.

Lead the design and implementation of data solutions on Snowflake, manage datasets, optimize performance, and collaborate with various teams for strategic data insights.

As a Data Solution Architect, you'll lead teams to design and deliver data solutions, balancing trade-offs, mentoring staff, and collaborating with architects and clients.

As a Data Architect at Kainos, you will provide guidance on data architecture, manage a small team, ensure data solutions fit client needs, and engage with stakeholders. You will also lead technical projects and support junior staff development.

Lead the design and implementation of secure, scalable data architectures on cloud platforms, mentoring data professionals and engaging stakeholders.

Lead design and development of scalable data pipelines, optimize ETL processes, ensure platform quality, and collaborate across teams to enhance data architecture.

As a Middle Data Engineer, you will design and maintain SQL data warehouses, enhance reports using SSRS, and develop data pipelines with Airflow.

As a Senior Data Engineer, you will deliver complex projects, lead teams, mentor junior engineers, and support customer relationships using Databricks and cloud platforms.

The ML Data Engineer will build data pipelines for next-gen generative video models, focusing on data quality, model performance, and infrastructure collaboration.

Lead the design of data pipelines for generative video models, ensuring high-quality data processing and collaboration with research and engineering teams.