Data engineer
abra R&D
- Where
- Israel, hybrid
- Language, from the listing
- No Hebrew mentionedA missing mention doesn't mean Hebrew isn't needed. Ask if it matters to you.
- Dates
- Found 5 Oct 2026
- Last checked on the employer's site
- 1 h ago (6 Oct 2026)
- Source
- Employer career page (Comeet)
What they ask for
- 3+ years of experience as a Data Engineer, Data Developer, or similar role
- Strong hands-on experience with Python and SQL
- Experience building ETL/ELT pipelines and data integration processes
- Experience with Azure, AWS, or GCP
- Experience with Airflow, Data Factory, Glue, dbt, or similar tools
- Experience working with APIs, Docker, and cloud-native services
- Hands-on experience with AI technologies such as LLMs, AI Agents, RAG, and Generative AI solutions
- Experience with OpenAI, Azure OpenAI, Claude, Bedrock, Vertex AI, or similar platforms
- Strong problem-solving skills and ability to deliver end-to-end solutions
Nice to have
- Experience with Databricks, Spark, PySpark, Snowflake, or BigQuery – Advantage
The full listing
Description
abra’s Data & AI Division is looking for Data Engineer to join our team!
We are looking for a Data & AI Engineer to join our growing team and help design, build, and deliver modern Data & AI solutions for enterprise customers.
Full-time | Central Israel
Key Responsibilities
• Design, build, and maintain scalable Data Pipelines and Data Platforms
• Develop ETL/ELT processes and cloud-based data solutions
• Work with structured and unstructured data from multiple sources
• Build AI-powered solutions including AI Agents, RAG pipelines, and LLM-based applications
• Integrate AI and Data solutions with enterprise systems using APIs and cloud services
• Develop data models, data warehouses, and lakehouse architectures
• Collaborate with Data Scientists, BI teams, and business stakeholders
• Monitor, optimize, and troubleshoot production environments
Requirements
• 3+ years of experience as a Data Engineer, Data Developer, or similar role
• Strong hands-on experience with Python and SQL
• Experience building ETL/ELT pipelines and data integration processes
• Experience with Azure, AWS, or GCP
• Experience with Airflow, Data Factory, Glue, dbt, or similar tools
• Experience working with APIs, Docker, and cloud-native services
• Hands-on experience with AI technologies such as LLMs, AI Agents, RAG, and Generative AI solutions
• Experience with OpenAI, Azure OpenAI, Claude, Bedrock, Vertex AI, or similar platforms
• Experience with Databricks, Spark, PySpark, Snowflake, or BigQuery – Advantage
• Strong problem-solving skills and ability to deliver end-to-end solutions