Top Data Engineer Jobs in Dublin

The Senior Data Engineer will design, build, and maintain data pipelines, ensuring data reliability and performance while collaborating with teams to drive business growth and improve customer experiences.

As a Data Engineer at McAfee, you'll develop and optimize data infrastructure and pipelines, ensuring data accuracy and supporting multiple teams in a remote environment.

The Principal Data Engineer will own and enhance data infrastructure, leverage AI for insights, and support sales operations. This role involves strategic leadership and technical work.

The Senior Data Engineer will lead the development and implementation of data solutions, ensuring effective data management and insights for event operations.

As a Senior Data Engineer, you will design and manage data pipelines for various types of data, ensuring scalability and reliability. You will work closely with R&D teams to enhance data access and improve data quality systems.

As a Senior Data Engineer, you will design, develop, and maintain data infrastructure, improve data quality, mentor junior members, and collaborate with teams to optimize data solutions.

The Senior Data Infrastructure Engineer will design and implement data infrastructure solutions, improving data pipelines and collaborating on data-related projects to support business needs.

As a Senior Data Engineer, you will design and implement scalable data solutions, maintain ELT pipelines, and enhance data systems for Zendesk.

As a Senior Data Engineer, you will leverage Google Cloud and your expertise in data engineering to assist clients with their data transformation and modernization by implementing solutions in ETL/ELT, data warehousing, and streaming architectures.

As a Senior Analytics Engineer, you will enhance the Snowflake data warehouse, enforce data governance, optimize SQL queries, and collaborate cross-functionally to ensure data quality and system scalability.

As a Data Acquisition Engineer, you will manage satellite data acquisition projects, collaborate with multiple teams, and optimize data ingestion processes.