Senior Data Engineer

Overview As a Senior Data Engineer at Confluence, you will design and deliver scalable data solutions that enable informed decision-making. You’ll own core data platform components, build reliable pipelines, and work hands-on with modern tools. You’ll collaborate across teams, influence architectural decisions, and mentor other engineers to raise the craft. This role combines technical leadership with meaningful business impact in a global, hybrid setting. Compensation / BenefitsGenerous Time Off packagesGlobal Career Development opportunitiesSocial EventsReferral Bonus scheme - Upto $3,000 per successful referral ResponsibilitiesDesign and deliver scalable data solutions powering decision-makingOwn key components of the data platform and maintain high-quality pipelinesBuild reliable, production-grade ETL pipelines at scaleCollaborate with cross-functional teams and contribute to architectural decisionsMentor and share knowledge to grow other engineersTake end-to-end ownership from design to deployment and monitoring Key requirementsSolid Python experience in a data engineering environmentAdvanced SQL skills and hands-on experience with SnowflakeExperience designing and running production-grade ETL pipelines at scaleExposure to cloud platforms such as AWS, Azure, or GCPAbility to take ownership end-to-end from design through deployment and monitoringCollaboration across teamsMentorship and knowledge sharingProblem-solving for complex data challengesPythonSQLSnowflake