Top Data Engineer Jobs in Belfast

The Data Engineer will design and deploy production data pipelines, work with AWS technologies, and integrate data from various sources while collaborating with teams and stakeholders.

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.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

The role involves building and maintaining data infrastructure, ensuring efficient collection, processing, and storage of data while collaborating on projects and employing data quality measures.

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 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.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile teams.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

Design, build, and optimize cloud-based data platform components: ingest and transform varied datasets, create metadata-driven pipelines and data APIs, support AI/ML infrastructure, implement monitoring and metrics, and improve data processes to enable analytics and operational systems.

The role involves developing analytical data pipelines, participating in architectural decisions, and leading projects while collaborating with R&D and engineering teams.

The Lead Data Platform Engineer will design and implement AI and data platforms, focusing on secure data access, governance, and enabling AI capabilities in a fast-paced fintech environment.

Design, build, and support large-scale data systems and pipelines, ensuring reliability and scalability while collaborating with cross-functional teams to meet data requirements.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Data Engineer will develop data infrastructure, build data pipelines, implement workflows, and collaborate with teams to enhance data analytics capabilities.

The Data Engineer will build cloud data solutions, support data scientists, develop data systems, and manage data performance in an agile environment.

As a Lead Data Engineer, you will design and develop software for data processing, lead a team, ensure quality, and manage technical proposals.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

As a Senior Software Engineer, you will develop and maintain ClickHouse's data ecosystem, focusing on Python integrations with orchestration and transformation tools. You'll engage with the open-source community while enhancing performance and reliability for data practitioners.

Lead mechanical engineering projects for data centre design and delivery, collaborating with multi-disciplinary teams and contributing to strategic growth.

The AWS Data Platform Engineer will build and maintain data pipelines, improve data infrastructure, collaborate with teams, and ensure data reliability.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Sales Engineer will drive success by providing technical expertise, customizing presentations, and developing solutions for data observability products, while collaborating with various teams to meet customer needs.

The Principal Software Engineer will enhance product features, mentor team members, and handle a variety of technical challenges within the engineering team, focusing on quality and performance.