Senior Data Engineer

Kendago is on a mission to redefine how consumers go from noticing a need to buying the right solution online. In an internet shaped by AI, fragmented attention, and constantly shifting platforms, we build, own, and scale top-performing brands and offers - both our own and those of leading partners — by combining proprietary technology, data-driven decision making, and creative excellence at performance scale. We operate at consumer scale, reaching millions of people every day across paid channels, owned funnels, and digital touchpoints. In a world where creative trends, consumer behavior, and platform algorithms shift overnight, Kendago stays ahead of the curve. We move fast, think deeply, and build with purpose. Our culture is rooted in entrepreneurship, innovation, and collaboration - along with shared wins, team dinners, and a whole lot of good food and laughter. We’re a team of doers, and boundary-breakers - product, data, R&D, growth, and creative talent who own the full stack of how consumer brands are built and scaled today. After 17 years in the game, every funnel, every test, every brand decision happens in-house - which means your work moves the needle directly and visibly. If you’re ready to tackle meaningful challenges, grow at lightning speed, and help shape the next frontier of consumer brand building, you belong here. We are looking for a Senior Data Engineer with strong Python expertise and extensive experience building large-scale, distributed data systems. You will play a key role in developing our next-generation data platform, building integrations with external data sources, and designing the services and pipelines that collect, process, and serve large volumes of data across our product. You will own systems throughout their full lifecycle — from system design and hands-on development to deployment, scalability, and production monitoring — while contributing to technical decisions and working closely with the team on building reliable, high-performance data solutions. Our Office is located in Kiryat Ono.This is a hybrid position, including two work-from-home days per week, with flexibility .