Top Data Engineer Jobs in Belfast

The Data Engineer will design, build, and maintain scalable data pipelines, ensuring data quality while supporting analytics and reporting initiatives.

The Senior Data Engineer will design and maintain data pipelines, develop automation scripts, support data migration, ensure data quality, and collaborate with cross-functional teams to meet business needs in financial services.

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 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, develop, and deliver high-quality data solutions, build robust data pipelines, and create predictive models for data-driven insights.

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.

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.

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.

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

Lead data engineering, overseeing delivery of data pipelines and products, ensuring architectural and modeling standards, promoting engineering excellence, and collaborating across 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.

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.

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

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.

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 Senior Software Engineer, you'll maintain critical parts of ClickHouse's Data engineering ecosystem, focusing on JVM-based frameworks and ensuring high-performance integrations for real-time analytics and data workloads.

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