Careers
Data Engineer
We’re looking for a senior-level Data Engineer who designs, builds, and optimizes large-scale data systems powering AI-driven insights.
Tel Aviv
Full-Time
Role overview
You’ll architect and manage high-performance data pipelines and infrastructure across cloud platforms. From database design and optimization to real-time data flow and orchestration, you’ll ensure Limy’s data backbone is scalable, efficient, and reliable. You’ll collaborate with ML, product, and engineering teams to turn data into momentum.
Key Skills:
• 8+ years in data engineering roles with increasing technical responsibility
• Expertise across multiple database systems (PostgreSQL, Elasticsearch, Snowflake, BigQuery, etc.)
• Proven experience building and optimizing large-scale data pipelines (batch and streaming)
• Deep understanding of database internals, query optimization, and performance tuning
• Proficiency in SQL and one programming language (Typescript, Python, or Java)
• Familiarity with ETL/ELT frameworks, data orchestration tools (Trigger, Temporal), and cloud data platforms (AWS, GCP, or Azure)
• Ability to design systems for reliability, scalability, and cost-efficiency
Bonus
• Experience with AI/ML data infrastructure or collaboration with ML engineers
• Background in data governance, data quality, or compliance frameworks
• Understanding of web data, URL normalization, or web crawling systems
Role overview
You’ll architect and manage high-performance data pipelines and infrastructure across cloud platforms. From database design and optimization to real-time data flow and orchestration, you’ll ensure Limy’s data backbone is scalable, efficient, and reliable. You’ll collaborate with ML, product, and engineering teams to turn data into momentum.
Key Skills:
• 8+ years in data engineering roles with increasing technical responsibility
• Expertise across multiple database systems (PostgreSQL, Elasticsearch, Snowflake, BigQuery, etc.)
• Proven experience building and optimizing large-scale data pipelines (batch and streaming)
• Deep understanding of database internals, query optimization, and performance tuning
• Proficiency in SQL and one programming language (Typescript, Python, or Java)
• Familiarity with ETL/ELT frameworks, data orchestration tools (Trigger, Temporal), and cloud data platforms (AWS, GCP, or Azure)
• Ability to design systems for reliability, scalability, and cost-efficiency
Bonus
• Experience with AI/ML data infrastructure or collaboration with ML engineers
• Background in data governance, data quality, or compliance frameworks
• Understanding of web data, URL normalization, or web crawling systems