Top Data Engineer Jobs in Dublin

Lead the design and technical delivery of HV substations for data centre clients. Oversee multi-disciplinary teams, ensure project timelines, maintain safety standards, and mentor junior engineers.

As a Senior Data Engineer, you'll design, build, and maintain scalable data platforms and pipelines while collaborating with various stakeholders. Responsibilities include optimizing data workflows, ensuring data quality and compliance, and implementing CI/CD processes for data solutions.

The Lead Data Analytics & AI Engineer will lead the technical strategy and engineering best practices for data modeling, ingestion, and advanced analytics, while mentoring engineers and collaborating across teams.

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.

As an MTS 2 Software Engineer, you will build and manage core components of eBay's declarative data platform, focusing on optimizing data pipelines and reducing operational inefficiencies. Responsibilities include designing systems for global data flow management, developing platform capabilities, and collaborating with various teams to enhance the platform.

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

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

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.

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