Top Tech Jobs & Startup Jobs in Edinburgh

The Senior Software Engineer will develop and maintain data pipelines for moving data from various sources to warehouses, contributing to code, architectural design, and mentoring junior engineers. Responsibilities include writing connectors, enhancing features, and ensuring technical excellence within the team.

The Senior Manager for Engineering PMO will lead a team, manage project portfolios, ensure timely delivery, and uphold quality standards. This role involves mentoring, process improvement, stakeholder communication, and technical oversight, while also engaging in hands-on project management as needed.

As a Senior Software Engineer in Developer Productivity, you'll automate manual processes, develop custom tools for engineering teams, troubleshoot issues, and enhance operational efficiency. Responsibilities include collaborating with teams, designing maintenance tools, documenting solutions, and providing technical support.

The Principal Software Engineer will lead the design and development of Fivetran's Data Lake product, ensuring it provides queryable data with no transformations. Responsibilities include collaborating with product teams, operating data lake systems, improving performance and scalability, and influencing cross-functional teams.

The Principal Software Engineer will lead the architecture, design, and development of Fivetran’s Data Lake product. Responsibilities include working with product teams, implementing large-scale data lake systems, contributing to open-source projects, and ensuring operational excellence.

As a Lead Sales Engineer at Fivetran, you will engage with Enterprise customers to identify their data replication needs. You will provide technical expertise, develop presentations, and ensure successful implementation through a proof-of-value process, while maintaining relationships with customers and collaborating with product teams.

The Principal Software Engineer will lead the design and development of Fivetran’s Data Lake product, collaborate with product teams to create innovative capabilities, manage the operational excellence of data lake systems, and tackle performance issues. Candidates should have extensive experience in relational data management systems and proven leadership in large technical projects.