Soum
Soum7mo ago

Data Engineer

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Data EngineeringData EngineerDataData & AI
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Quick Summary

Overview

Role: Data Engineer Location: Egypt, Uzbekistan,

Technical Tools
Data EngineeringData EngineerDataData & AI
Role: Data Engineer
Location: Egypt, Uzbekistan, and Pakistan (Remote)
Work Week: Sunday – Thursday
Work Timings: 9:00 AM – 6:00 PM (Saudi Arabian Time Zone)

Overview:
We’re seeking a Data Engineer to design, build, and maintain the data infrastructure that underpins our analytics, ML models, and decision-making processes. You’ll be responsible for building scalable data pipelines, integrating diverse data sources, and ensuring data quality, reliability, and accessibility across the organization. Working closely with data scientists, analysts, and product teams, you’ll enable data-driven insights while optimizing for performance and scalability. This is a great opportunity to have a direct impact on how data is leveraged across a fast-growing company.
  • Data Pipeline Development & Optimization:
  • Design, build, and maintain scalable and reliable data pipelines to support analytics, ML models, and business reporting.
  • Collaborate with data scientists and analysts to ensure data is available, clean, and optimized for downstream use.
  • Implement data quality checks, monitoring, and validation processes.
  • Data Architecture & Integration:
  • Work with cross-functional teams to design efficient ETL/ELT workflows using modern data tools.
  • Integrate data from multiple sources (databases, APIs, third-party tools) into centralized storage solutions (data lakes/warehouses).
  • Support cloud-based infrastructure for data storage and retrieval.
  • Performance & Scalability:
  • Monitor, troubleshoot, and optimize existing data pipelines to handle large-scale, real-time data flows.
  • Implement best practices for query optimization and cost-efficient data storage.
  • Ensure data is available and accessible for business-critical operations.
  • Collaboration & Documentation:
  • Partner with product, engineering, and business stakeholders to understand data requirements.
  • Document data workflows, schemas, and best practices.
  • Support a culture of data reliability, governance, and security.
  • Proficiency in Python and SQL for data engineering tasks.
  • Strong understanding of ETL/ELT processes, data warehousing, and data modeling.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data storage solutions (BigQuery, Redshift, Snowflake, etc.).
  • Familiarity with data orchestration tools Airflow, Airbyte is a must.
  • Experience with containerization & deployment tools (Docker, Kubernetes) is a plus.
  • Knowledge of data governance, security, and best practices for handling sensitive data.
  • Familiarity to work with Git and GitHub.
  • Dataform is a must
  • Strong skills in eliciting requirements from cross-functional stakeholders and translating them into actionable data engineering tasks.
  • 2+ years in data engineering, building and maintaining data pipelines.
  • 2+ years in SQL and Python development for production environments.
  • Experience working in fast-growing startup environments is a plus.
  • Exposure to real-time data processing frameworks (Kafka, Spark, Flink) is a plus.

    • Listing Details

    Posted
    September 21, 2025
    First seen
    March 26, 2026
    Last seen
    April 24, 2026

    Posting Health

    Days active
    29
    Repost count
    0
    Trust Level
    32%
    Scored at
    April 25, 2026

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    Soum is a leading company in the Middle East, focusing on providing innovative solutions in various sectors.

    Employees
    125
    Founded
    1959
    Domain
    soum.sa
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    View 7 jobs
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