We're looking for a Data Engineer with 4+ year experience to join our Data Engineering team and help us build and scale our production-grade data platform. You'll work on high-performance systems built on self-hosted ClickHouse, optimize complex data pipelines, and collaborate closely with Product, Analytics, and Infrastructure teams to deliver reliable, fast, and scalable data solutions.
This is a hands-on technical role where you'll have a significant impact on how we ingest, model, store, and serve data that powers our analytics and AI-driven products.
Youll play a key role in shaping the direction of our data platform and have meaningful ownership over critical components of our architecture.
Requirements: Excellent communication and collaboration skills
English at a high level, written and spoken required
Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
Strong attention to detail, ownership mentality, and ability to work independently
Quick learner who can dive into new codebases, technologies, and systems independently
Hands-on mentality - not afraid to roll up your sleeves, dig into unfamiliar code, and work across the stack (including backend when needed)
4+ years of experience as a Data Engineer
Strong problem-solving skills for complex data challenges at scale - ability to debug performance issues, data inconsistencies, and system bottlenecks in high-volume environments
Experience with data modeling and schema design for analytical workloads
Strong proficiency in SQL and experience with complex analytical queries
Hands-on experience building and maintaining data pipelines (ETL/ELT)
Ability to troubleshoot and optimize systems handling large data volumes (millions+ rows, complex queries, high throughput)
Knowledge of query optimization techniques and execution planning
Familiarity with columnar databases (ClickHouse, BigQuery, Redshift, Snowflake, or similar). Columnar DB experience is a big plus.
Nice to Have
Experience with ClickHouse specifically
Experience with real-time or streaming data pipelines
Familiarity with SQL compilers or query engines
Background in data quality frameworks and observability tools
Experience with infrastructure as code (Terraform, Ansible, Pulumi ,etc.)
Contributions to open-source data projects
Experience with data orchestration tools (Airflow, Dagster, Prefect, etc.)
Experience with any scripting language for data processing
Understanding of distributed systems and data architecture concepts at scale
This position is open to all candidates.