Top Data Engineer Jobs in Dublin

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.

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 Senior Data Engineer will design, build, and maintain data pipelines and infrastructure, ensuring data reliability and performance while collaborating with cross-functional teams to deliver data-driven solutions.

The role involves building and maintaining end-to-end data pipelines on AWS, ensuring data reliability, collaborating with teams, and staying updated with data engineering advancements.

As a Backend Engineer (Data Engineering), design and build scalable data pipelines and infrastructure for processing security data, ensuring reliability and performance.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

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 Data Infrastructure Engineer, you will evolve the Data Platform, develop data pipelines, automate analytics data creation, and collaborate with various teams.

The Software Engineer will focus on data collection for AI model training, build ingestion pipelines, and collaborate with scientists on dataset roadmaps.

Develop and maintain intelligent data infrastructure, build complex data pipelines, support analytics, ensure data quality and governance, leverage AI tools, and mentor junior engineers.

Lead the design and implementation of strategic data architecture, develop and maintain data pipelines, ensure data governance and quality, and mentor team members.

This role involves designing and implementing scalable data architectures, optimizing data systems, and collaborating with various teams on data-related projects.

Design and maintain data pipelines using Azure Data Factory and Databricks, ensuring data quality and collaborating with stakeholders to meet data requirements.

As a Senior Data Engineer, you will design and scale data systems, build ETL pipelines, ensure data quality, and collaborate with product, growth, and finance teams to support decision-making and analytics.

As a Staff Engineer and Team Lead, you will architect scalable backend systems, mentor engineers, and ensure high-quality code for Alpaca's market data suite.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior Software Engineer will develop and scale backend services, manage data pipelines, and ensure system reliability across multi-cloud environments.

The Senior Software Engineer will design and scale backend services, improve data pipelines, and ensure reliable systems, while collaborating across teams.

The Senior Software Engineer will design and build scalable backend services, improve data pipelines, and ensure system reliability and performance.

The Senior Software Engineer will design and build scalable backend services, integrate data pipelines, and ensure reliability and performance in a multi-cloud environment.

The Senior Software Engineer will design and build backend services, work on data pipelines, and ensure system reliability and performance in a multi-cloud environment.

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.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.