Top Data Jobs in Belfast

The Principal Data Consultant at Kainos will lead the company's efforts in transforming digital services and data solutions for clients. This role focuses on building relationships with C-level stakeholders, advising on data strategies, working with technology teams, and contributing to new business development in data and AI projects.

As a Senior Data Engineer, you will design, build, and support large-scale data systems and pipelines, enhancing the organization's data infrastructure. Responsibilities include optimizing data storage and retrieval, collaborating with teams for data solutions, and ensuring robust software engineering practices. You will stay informed on data engineering technologies and trends.

The Data Steward - Finance & Strategy will lead data governance initiatives, collaborate on enterprise data management, drive user adoption of data capabilities, and support analytics deployment in finance processes. Responsibilities include ensuring data quality and metadata management while coaching teams on data stewardship principles.

The Risk Data Scientist will develop data-driven solutions to optimize risk management by leveraging advanced machine learning and statistical methods. Responsibilities include collaborating with stakeholders, managing large data sets, coding, keeping up with industry trends, and presenting insights to stakeholders.

As a Senior Data Scientist at eyeo, you will work on various projects including optimizing business processes, designing algorithms for real-time bidding, conducting A/B tests, and enhancing data collection strategies. You'll collaborate with engineering and product teams to provide analytical insights and improve product offerings.

The Data Annotation Specialist for Hebrew is responsible for data tagging, validation, classification, image identification, and detecting audio events. This entry-level role offers learning support to gain experience in the AI industry, focusing on ensuring data accuracy and performance evaluations of Automatic Speech Recognition models.

As a Senior Data Scientist, you will lead an analytics research team, focusing on predictive modeling, machine learning, and developing computational models for optimizing analytics. Responsibilities include collaborating on new algorithms, applying advanced data analysis techniques, mentoring junior researchers, and communicating research findings effectively.

As a Lead Data Engineer, you will lead teams in designing, building, and maintaining large-scale data systems and applications on AWS. Responsibilities include creating production data pipelines, processing structured and unstructured data, and integrating data engineering components into production systems. You will also support the junior team members and define the software development lifecycle according to AWS best practices.

As a Data Engineer, you will design and deploy production data pipelines using Java, Python, and AWS technologies. You will work with large data sets, integrate data sources, and collaborate within Agile teams to deliver digital solutions that address complex business challenges.

This role focuses on ensuring data protection and privacy compliance for clients, specifically in the Life Sciences sector. Responsibilities include delivering data privacy projects, acting as a subject matter expert, and developing governance processes for data privacy as part of business routines. The role entails effective communication with various stakeholders and contributing solutions to evolving compliance requirements.

The Lead Price Comparison Data Analyst will analyze insurance price comparison data, transforming complex datasets into clear insights for decision-making. They will work with marketing, pricing, and product teams to drive performance and optimize pricing models, presenting findings to senior leadership and supporting analytics developers.

As a Data Engineer at Ascent, you will design and create data pipelines that transform and optimize data for analytics and other uses. You will collaborate with stakeholders, manage data lineage and metadata, and work with Azure data services in a team-focused, Agile environment.

The Commercial Data Analytics Developer will analyze marketing data and collaborate with the marketing team to translate business requirements into insights. Responsibilities include statistical modeling, BI report development, and improving marketing data models to enhance customer experiences.

You will be responsible for maintaining and setting up automated data ingestion pipelines, simplifying existing data pipelines, designing a cloud-native data warehouse, and collaborating with data scientists for ML model deployment. Key tasks include data storage, data manipulation, and cloud infrastructure management.

The Data Senior Manager, Growth is responsible for leveraging data to drive growth strategies and optimize decision-making. Key responsibilities include developing attribution models, calculating channel-level CACs, designing experiments, and creating dashboards that provide insights into growth performance.

The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.

The DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.