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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