العودة لجميع الوظائف

Data Engineer

Engineering Egypt — Fully Remote Part-time

الوصف الوظيفي

Data only creates value when it is trustworthy, timely, and understandable.

ErthDev is looking for a Data Engineer to design pipelines and data foundations that help products and businesses make better decisions.

You'll build reliable ingestion, transformation, and serving layers—not fragile one-off scripts.

What you'll do

  • Design and build data pipelines for analytics and product use cases.
  • Model data for reliability and clear semantics.
  • Integrate sources from applications, APIs, and operational systems.
  • Improve data quality, monitoring, and lineage visibility.
  • Collaborate with backend, product, and analytics stakeholders.
  • Optimize pipeline performance and cost.
  • Support reporting and operational dashboards where needed.
  • Document datasets, transformations, and ownership.
  • Handle access controls and sensitive data carefully.
  • Help teams avoid unmaintainable spreadsheet-driven architecture.

Data at ErthDev

We prefer boring, reliable data systems over fashionable stacks that nobody can operate.

Good data engineering makes product and business decisions safer.

What you'll get

  • Fully remote work from Egypt
  • Flexible working hours with collaboration overlap
  • Cairo office access when needed
  • Paid annual leave and sick leave
  • Performance bonuses and annual salary reviews
  • Learning and development support
  • Courses and certifications
  • Conference opportunities
  • Equipment and internet support
  • Medical insurance
  • Mentorship and career growth
  • Exposure to projects across different industries

Hiring process

Application → Initial Conversation → Practical Assessment → Technical Interview → Final Conversation → Offer

If you enjoy making data dependable, we'd like to meet you.

Apply through LinkedIn Easy Apply or the ErthDev careers page.

المتطلبات

What we're looking for

  • Strong SQL skills.
  • Experience building production data pipelines.
  • Familiarity with Python or equivalent for data processing.
  • Understanding of data modeling and quality issues.
  • Experience with cloud data services or warehouses.
  • Ability to collaborate with non-data teams.
  • Strong debugging and operational mindset.
  • Attention to privacy and access control.

Experience with dbt, Airflow/Prefect, BigQuery/Redshift/Snowflake, Kafka, Spark, and ELT patterns is a plus.

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