Data Engineer

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 skillsEnglish at a high level, written and spoken requiredAbility to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is requiredStrong attention to detail, ownership mentality, and ability to work independentlyQuick learner who can dive into new codebases, technologies, and systems independentlyHands-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 EngineerStrong problem-solving skills for complex data challenges at scale - ability to debug performance issues, data inconsistencies, and system bottlenecks in high-volume environmentsExperience with data modeling and schema design for analytical workloadsStrong proficiency in SQL and experience with complex analytical queriesHands-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 planningFamiliarity with columnar databases (ClickHouse, BigQuery, Redshift, Snowflake, or similar). Columnar DB experience is a big plus.Nice to HaveExperience with ClickHouse specificallyExperience with real-time or streaming data pipelinesFamiliarity with SQL compilers or query enginesBackground in data quality frameworks and observability toolsExperience with infrastructure as code (Terraform, Ansible, Pulumi ,etc.)Contributions to open-source data projectsExperience with data orchestration tools (Airflow, Dagster, Prefect, etc.)Experience with any scripting language for data processingUnderstanding of distributed systems and data architecture concepts at scaleThis position is open to all candidates.