Senior Software Engineer, Fivetran

• 5+ years of experience in the software industry with a passion for solving complex system engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch, leveraging industry best practices
• Proven experience developing integrations using APIs (REST/GraphQL), webhooks, and modern programming/scripting languages (Python, Java), and building systems leveraging low-code and full code solutions, and deploying them using modern CI/CD practices and ensuring observability
• Strong proficiency in SQL, experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift), and experience with BI and data visualization tools such as Sigma, Looker Studio, Tableau, or Power BI
• Experience building ground-up and deploying AI/ML-powered utilities or agents using LLMs (e.g., OpenAI, Claude, etc.) to automate code writing, documentation, or deliver intuitive and effective user-facing prototypes and full-scale solutions
• Hands-on experience using, administering, and customizing core enterprise systems: Jira, Slack, Zendesk, Salesforce, Aha!, etc
• Excellent communication skills in English with the ability to bridge the gap between technical details and business outcomes
• Experience working cross-functionally with global, engineering, product, design, and data analytics teams
• Ability to independently drive complex projects, breaking down large-scale initiatives into phased deliverables that provide eminent value to users without compromising on the vision and overall OKRs

Desirable

• Fivetran and dbt Labs have joined forces to help organisations unlock the full value of their data. Together, they provide a complete data infrastructure that enables businesses to move, transform, and trust their data, supporting analytics, AI, and informed decision-making
• Fivetran automates data movement across the systems, cloud platforms, and tools organisations use every day, while dbt Labs pioneered analytics engineering, enabling teams to transform raw data into reliable, governed insights. By combining their expertise, the two companies support thousands of organisations in building trusted data foundations
• As the companies integrate their teams and technology, they continue to build on the strengths of both organisations while maintaining the products and services customers rely on. This is an exciting period of growth, creating a business with the scale, talent, and technology to help organisations use their data with greater speed, confidence, and impact. During this transition, candidates may see references to both Fivetran and dbt Labs throughout the recruitment process as systems and career sites are combined
• The Senior Software Engineer role sits within the Engineering Strategy and Operations group, which is part of the Research and Development (R&D) organisation. The team's focus is on accelerating innovation by developing internal business systems, improving engineering processes, and connecting product development with business operations and data insights
• In this role, you would design, build, and maintain the systems and data pipelines that support the R&D organisation. You would be responsible for developing technical solutions that improve engineering and product processes, integrating key enterprise platforms, and transforming raw data into meaningful business intelligence. The role plays a key part in providing R&D and business leaders with a unified, real-time view of engineering performance, operational efficiency, and market alignment
• TypeScript/JavaScript, Python, and React; extend Atlassian Cloud via Forge and ScriptRunner; manage data flows in BigQuery and SQL; and deploy solutions on GCP using modern CI/CD practices
• Lead the development of custom system solutions, tools, and dashboards that power the R&D operations and seamless data flow and process alignment across the Fivetran feature development lifecycle
• Design, develop, and maintain bidirectional integrations between core platforms such as Jira, Zendesk, Salesforce, and other GTM and G&A Systems to streamline the feature development lifecycle and R&D operations
• Create ground-up and maintain custom AI agents and internal tools to help engineering managers, product Managers and leadership quickly access relevant data, draft compelling technical requirements and design, synthesize customer feedback, and align with strategic goals and OKRs to improve operational efficiency and launch innovative products faster
• Design and build production-grade backend services and integration workflows in Python and TypeScript
• Define API contracts, data models, and integration patterns with strong attention to reliability, idempotency, and security
• Write high-quality, tested code with clear standards for unit, integration, and end-to-end testing
• Own observability, operational readiness, and production support for internal tools and data pipelines
• Build maintainable React-based internal applications with strong UX, accessibility, and performance practices
• Leverage AI assistants to streamline IDE-based development in real-time and Coding Agents, such as Claude Code, to automatically generate code for use cases such as incident resolution, feature development, testing, investigations, and documentation
• Create comprehensive technical documentation for all integrations, data models, and deployed systems
• Build, maintain, and govern self-service analytics dashboards using tools such as Sigma and Looker Studio to measure and drive operational excellence in feature delivery and business velocity, in partnership with our centralized analytics team