Top Data Engineer Jobs in Belfast

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.

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

Design, build, and optimise scalable data pipelines and Lakehouse layers (Bronze/Silver/Gold) in Microsoft Fabric using SQL and PySpark. Integrate ERP/CRM/APIs, ensure data quality/governance, support Power BI semantic models, monitor and troubleshoot pipelines, and collaborate with stakeholders for analytics and reporting.

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 Principal Data Engineer will design and build large-scale backend services and data pipelines, lead architectural decisions, and mentor engineers. This role requires deep technical expertise in building distributed systems and ensuring system reliability and performance optimization.

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 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 Data Reliability Engineer II ensures the reliability and scalability of data infrastructure on GCP, automates data tasks, and collaborates with various teams to improve data processes.

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

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

The Data Engineer will build and scale data pipelines, ensure data quality, implement dbt best practices, and empower cross-functional teams with self-service data access.

The Data Architect/Data Engineer will design scalable data architectures, build and optimize data pipelines, ensure data governance, and support advanced analytics and personalization, particularly using Adobe Experience Platform.

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.

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

The Data Reliability Engineer I will monitor system health, assist with database incidents, support performance tracking, learn Infrastructure as Code, and contribute to automated database processes. Ideal for recent graduates or those with 1-2 years of relevant experience.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

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.

As a Senior Data Engineer, you will design and develop large-scale data processing software, manage technical components, and mentor team members, while ensuring code quality and operational readiness.

As a Senior Data Engineer, you'll design and develop data processing solutions, collaborate with architects, mentor team members, and ensure operational readiness in agile 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.