Data engineer

abra; Center (AL); On-site; USD 90,000 - 150,000; Full time

Job summary

You will collaborate with Data Scientists and BI teams, handle APIs, Docker, and cloud services, and help implement data models, lakehouse architectures, and end-to-end solutions.

Qualifications

• 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 Databricks, Spark, PySpark, Snowflake, or BigQuery – Advantage
• Strong problem-solving skills and ability to deliver end-to-end solutions.

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

Skills

Python

SQL

LLMs

Gen AI

Tools

Airflow

Data Factory

Glue

dbt

Databricks

Spark

PySpark

Snowflake

BigQuery

Docker

APIs

Job description

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 platformsExperience with Databricks, Spark, PySpark, Snowflake, or BigQuery – Advantage
• Strong problem-solving skills and ability to deliver end-to-end solutions