Senior Data Engineer
Kendago, a performance-marketing company that builds and scales consumer brands, is hiring a Senior Data Engineer in Kiryat Ono (hybrid, 2 WFH days/week) to build its next-generation data platform: designing Python/FastAPI services and large-scale data pipelines, integrating external data sources, and owning systems end to end from design through production monitoring.
- Compensation
- Not disclosed
- Location
- Kiryat Ono, Israel
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years of professional software/data engineering experience with strong hands-on Python proficiency
- Proven experience building and maintaining large-scale, data-intensive systems in production
- Strong SQL skills including large/complex datasets, query optimization, and data modeling
- Hands-on experience designing and developing data pipelines and services that process data asynchronously or in batches
- Solid understanding of distributed-system fundamentals: failure handling, retries, idempotency, concurrency, eventual consistency
- Experience contributing to system design and technical decisions around scalable, reliable data systems
- Experience building and consuming REST APIs and integrating with third-party systems
- Strong problem-solving skills and ability to investigate unfamiliar systems and complex data flows
- Ability to work independently, take ownership, make sound engineering decisions, and collaborate in a small, highly technical team
Nice to have
- Experience with FastAPI, Django, Flask, or similar frameworks
- Experience working in FinTech, E-commerce, AdTech, or other high-scale data environments
- Experience working with high-volume data processing and distributed data infrastructure
- Experience with Amazon Redshift or another analytical data warehouse
- Familiarity with Docker, CI/CD, logging, monitoring, and troubleshooting production systems
- Experience building ETL or ELT pipelines and implementing data-quality checks
- Experience with queues, schedulers, or workflow orchestration tools
- Familiarity with infrastructure as code and cloud infrastructure management
- Experience with high-volume data ingestion, analytics platforms, marketing technology, or campaign-management systems
Full description
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.
ABOUT THE ROLE
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 .
Requirements
- 5+ years of professional software/data engineering experience, with strong hands-on Python proficiency.
- Proven experience building and maintaining large-scale, data-intensive systems in production.
- Strong SQL skills, including working with large and complex datasets, query optimization, and data modeling.
- Hands-on experience designing and developing data pipelines and services that process data asynchronously or in batches.