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.
What You'll Do:
Data Modeling & Architecture
Design and evolve data models that reflect business logic and support analytical use cases
Collaborate with the BI and Analytics teams to understand data requirements and translate them into efficient schemas
Performance Optimization
Optimize ClickHouse schemas, partitioning strategies, indexing, and compression
Profile and tune slow queries to improve performance and reduce costs
Implement systems that ensure data quality, consistency, and operational efficiency (e.g., deduplication, validation, anomaly detection)
Monitor pipeline health, data freshness, and query performance with appropriate alerting mechanisms
SQL Compiler Development
Develop and maintain the SQL Compiler layer that translates high-level queries into optimized ClickHouse execution plansImplement query optimization and rewriting strategies to improve performanceDebug and resolve compiler issues to ensure accurate and efficient query translation
Data Pipeline Development & Collaboration
Review and advise the Integration team on pipeline architecture, performance, and best practices.
Provide guidance on data modeling, schema design, and optimization for new data sources.
Troubleshoot and maintain existing pipelines when issues arise or optimization is needed
Ensure data freshness, reliability, and quality across all ingestion pipelines.
Collaboration & Support
Work closely with the Integration team to ensure smooth data ingestion from new sources.
Partner with Infrastructure to support high availability and disaster recovery
Support other teams across the company in accessing and using data effectively.
דרישות:
Required
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, המשרה מיועדת לנשים ולגברים כאחד.