Top Data Engineer Jobs in Belfast

The Data Engineer role involves implementing and optimizing SaaS data products, designing integration patterns, and providing technical leadership while collaborating with stakeholders.

The Principal Data Engineer will lead and manage data platforms, pipelines, and engineering standards, ensuring reliable data delivery while supporting the growth of the engineering team.

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.

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

The role involves developing and maintaining the Enterprise Data Warehouse, optimizing queries, and supporting data analysis and business intelligence activities.

The Data Engineer will build and maintain data pipelines, support AI initiatives, ensure data compliance, and collaborate with stakeholders to deliver value from data.

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 Data Engineer will build and maintain data infrastructure, optimize performance pipelines, and ensure efficient data ingestion and querying for analysis within a high-performance AI media platform.

Lead the design and development of data services, manage data reliability, create data models, and ensure data products support ML workflows.

The Data Engineer will design, build, and improve data pipelines while collaborating with cross-functional teams to ensure data quality and reliability.

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 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 and build scalable data assets, develop automated data pipelines, and ensure data quality and governance, collaborating with stakeholders.

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

The Software Engineer will enhance data collection and ingestion pipelines for AI model training, collaborating on dataset roadmaps and managing cloud infrastructure.

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.

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

The Data Reliability Engineer II will automate data tasks, manage data infrastructure on GCP, and ensure data quality and security while collaborating with various teams.

As a Data Reliability Engineer II, you'll maintain and enhance the reliability of database systems, manage a GCP data ecosystem, automate operations, and ensure data security and documentation.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Senior Data Engineer will build core infrastructure software for data platforms, mentor engineers, and ensure data access and performance across systems.

Lead the Luna data team as a technical practice lead, focusing on migrating data from Redshift to AWS RDS while mentoring team members in Python and DataOps practices.

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

The Senior Data Analytics Engineer will develop automated reporting solutions, analyze data across business functions, and enhance data quality. Collaboration with internal teams to drive self-service analytics and establish reporting standards is essential.

The Senior Site Reliability Engineer will design and maintain a reliable data platform, develop data pipelines, automate processes, and ensure system observability while collaborating across teams.