Top Tech Jobs & Startup Jobs in Dublin

As a Principal Software Engineer at Fivetran, you will lead the architectural design and development of the Data Lake product, ensuring high performance and scalability. You will collaborate with product teams, enhance system reliability, and contribute to open-source projects. The role requires significant experience in relational data management and a deep understanding of data technologies.

Lead the technical architecture, design, and development of Fivetran's Data Lake product. Collaborate with product teams, develop large-scale data lake systems, contribute to open-source projects, and ensure the operational excellence of services.

As an Enterprise Sales Engineer at Fivetran, you will collaborate with the sales team to understand client needs and demonstrate the effectiveness of data replication solutions. Responsibilities include providing technical expertise, navigating proof-of-value processes, and maintaining strong relationships with Enterprise customers while ensuring solution alignment with their requirements.

The Senior Software Engineer will work on building and maintaining data pipelines that transfer data from various sources to data warehouses. Responsibilities include writing Java code, developing new connectors, and ensuring the technical excellence of services while mentoring junior colleagues.

The Principal Software Engineer will lead the architecture and development of Fivetran’s Data Lake products, ensuring high performance, scalability, and reliability while collaborating with product teams and managing large-scale data lake systems.

As a Customer Support Engineer at Fivetran, you will troubleshoot and resolve technical issues for clients, working with various APIs and supporting the customer success team. This role requires ownership of customer cases, collaboration with engineering, and contribution to knowledge documentation for problem-solving.

As a Principal Software Engineer at Fivetran, you will lead the architecture, design, and development of the Data Lake product, ensuring customers have queryable data. Responsibilities include designing large-scale data lake systems, collaborating with product teams, and enhancing performance and reliability.