Data Engineer

We are seeking an accomplished Data Engineer to join our rapidly growing team. This role is responsible for designing, building, and evolving scalable data pipeline architecture to ensure reliable, high-quality data delivery across the organization. The ideal candidate is a hands-on engineer with strong experience building and maintaining data pipelines, and a passion for delivering robust data solutions that enable analytics and business decision-making. The Data Engineer will partner with data architects, data analysts, data scientists, and cross-functional stakeholders to deliver trusted data assets supporting a wide range of business initiatives. They will ensure efficient and reliable data delivery across multiple teams, systems, and products in a dynamic environment. This role offers the opportunity to evolve and enhance a modern data platform by improving existing pipelines or redesigning them for greater scalability, performance, and maintainability. The successful candidate will apply modern software engineering practices, including AI-assisted development tools, to improve productivity, code quality, and delivery speed while maintaining strong engineering standards. RESPONSIBILITIES • Design, develop, and maintain scalable data pipelines and data products for internal and external consumers. • Build and optimize batch and near real-time data ingestion, transformation, and delivery processes. • Integrate data from internal and external sources to support business, reporting, and analytics requirements. • Collaborate with data architects, analysts, data scientists, and business stakeholders to deliver scalable data solutions and support Sisense dashboards and analytics assets. • Design and implement data models that support reporting, analytics, and operational use cases. • Ensure data quality, reliability, and performance through monitoring, validation, automated testing, and troubleshooting. • Write maintainable, well-documented, and testable code; partici