Open Positions
Data Engineer
About The Position
Role Overview
We’re looking for a Data Engineer to build and scale reliable data pipelines and analytics infrastructure. You’ll own ingestion, transformation, modeling, and orchestration with a stack centered on Python, Apache Spark, BigQuery, and dbt (today) We are in a process of redesigning our infrastructure.
Key Responsibilities
- Design, build, and maintain batch and streaming pipelines from multiple sources into BigQuery
- Develop modular dbt models (staging, marts) with tests, documentation, and clear ownership
- Optimize Spark jobs for performance and cost; tune partitions, caching, and I/O.
- Implement data quality checks, observability, and alerting (freshness, volume, schema).
- Collaborate with Analytics/BI and Product teams to model data for self-serve reporting.
- Design, implement, and maintain CI/CD pipelines and manage orchestration
- Manage and optimize Azure & GCP cloud infrastructure.
Requirements
- 3+ years building production data pipelines and models.
- 3+ years Databricks data engineer – must.
- Strong Python (coding, packaging, unit tests, dependency mgmt).
- Hands-on Apache Spark (PySpark preferred): optimizing joins, shuffles, and partitions.
- Expert BigQuery: SQL, storage design, performance tuning, and cost controls.
- Production dbt experience (modeling conventions, tests, docs, exposures).
- Experience with orchestration (Airflow/Cloud Composer or similar) and Git-based CI/CD.
- Data quality/observability mindset; familiarity with testing frameworks.
- Clear communication and stakeholder collaboration.
- Streaming (Kafka/Pub/Sub), incremental change data capture (CDC) (Nice to have)
- Terraform/IaC, GCP networking & security (Nice to have)
What We Offer
- The opportunity to make a real impact in a fast-growing, innovative company.
- A dynamic and supportive learning environment.
- Competitive salary and benefits.
- Office located in the Tel Aviv area, within walking distance from the train station.
