Top Data Engineer Jobs in Dublin

As a Data Engineer at Zendesk, you'll build and maintain data pipelines and models, enhance data processing efficiency, and collaborate with teams to support CRM insights.

Seeking a Senior AWS Data Engineer to design data pipelines, collaborate on data-driven solutions, and manage data infrastructure to support a cybersecurity startup's growth.

Design, build, and maintain scalable data pipelines and cloud solutions. Collaborate with teams on data architecture in Agile environments.

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 translate business objectives into actionable analytics, develop Big Data applications, automate quality checks, and collaborate on data privacy compliance.

As a Data Engineer/BI Developer, you will design data pipelines, develop BI reports and dashboards, collaborate across teams, and support migration projects.

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

As a Data Engineer at Yahoo, you'll implement AI/ML capabilities, build data pipelines, optimize workflows, and collaborate with teams to enhance user experiences.

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.

As a Data Engineer at Starling, you will build cloud-native data warehouses and ML platforms, improving tooling within AWS and GCP.

The Senior Data Engineer will architect and deliver cloud-first data platforms, mentor teammates, standardize data contracts, optimize pipelines, and ensure data quality and governance.

As a Data Engineer at Screenverse, you'll build ETL pipelines, ensure data quality, and contribute to data strategy in a collaborative environment.

As a Senior Data Engineer for GenAI, lead the development of cloud-native big data solutions, collaborating across teams to enable AI models and analytics.

The Senior Data Engineer will design and maintain scalable data platforms using Snowflake, lead ETL/ELT pipelines, and collaborate in an Agile environment.

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.

As a Senior Data Engineer for GenAI, you will lead the design and operationalization of cloud-native big data solutions for AI models. Responsibilities include collaborating on data solutions, building advanced analytics products, and maintaining high coding standards.

The Principal Data Engineer will design and build large-scale backend systems and data pipelines, lead architectural decisions, and collaborate with teams to shape the technical roadmap.

The Senior Data Engineer will design and implement high-performance data solutions, mentor team members, and develop data pipelines while ensuring best practices in SQL development and data architecture.

As a Senior Data Engineer, you will design, develop, and maintain data pipelines, optimize Hadoop systems, and collaborate to ensure data security and compliance while applying new technologies.

As a Software Engineer on the Data Platform team, you'll design and develop eBay's core data infrastructure, focusing on building scalable systems and enhancing the end-to-end data lifecycle.

Design, build, and optimize scalable data platforms using Azure and Databricks. Responsible for developing ETL/ELT pipelines, maintaining data quality, and collaborating with analytics teams.

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.

The Senior Data Engineer will design scalable systems, automate ML operations, optimize performance, and enhance infrastructure for data processing and monitoring.

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