Top Data Engineer Jobs in Belfast

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

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

Design, build, and own scalable ETL/ELT data pipelines (Snowflake, Dagster, dbt). Migrate legacy Django/Celery pipelines, ensure data quality, observability, and collaborate with Product, Analytics, and Data Science.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

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.

The Senior ML Data Engineer will enhance data workflows, collaborate with teams to build datasets, influence data strategies, and implement pipelines for effective data usage in AI/ML products.

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 Principal Data Engineer designs and builds large-scale backend services and data pipelines, leading technical initiatives and mentoring junior engineers.

The Data Engineer will architect and maintain the data infrastructure, focusing on high-volume logs and performance pipelines to support observability and analytics for various teams.

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.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

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

Build and evolve device and service monitoring for OT systems: design data ingestion, time-series structures, dashboards, alerting, logging and audit trails aligned with IEC-62443; develop backend services with NestJS, contribute to Angular dashboards, integrate devices, improve data quality, and enable ML-ready analytics for anomaly detection and predictive insights.

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

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 Engineer will design and deploy data pipelines, collaborate with different teams, and manage data quality and governance for optimal performance.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

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.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.