Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 23h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 26d ago
The date the source published, not the day we noticed it (2026-08-20). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Egypt
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €72.1k–106.1k/yr
Middle 50% of 78 listings that do state pay — Engineering · all levels · EMEA · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 11d ago · last seen just now
The listing
Key Responsibilities
- Data Architecture Design: Contribute to the design of scalable and secure data solutions, ensuring alignment with business and technical needs.
- ETL/ELT Pipeline Development: Develop and optimize efficient pipelines to ingest, transform, and load data from diverse sources into structured formats for analytics.
- Data Source Analysis: Analyze structured and unstructured data sources, recommending strategies for ingestion, processing, and classification.
- Data Layer Development: Assist in building a robust data layer that supports both batch and real-time processing.
- Data Ingestion & Cleansing: Implement strategies for validating and cleansing data to ensure quality and compliance with governance policies.
- Query Optimization: Write and optimize SQL queries to improve performance and efficiency across large datasets.
- Data Migration: Support migration projects from legacy systems to cloud platforms, ensuring accuracy and minimal downtime.
- Performance Monitoring: Monitor data workflows, troubleshoot bottlenecks, and propose improvements.
- Collaboration: Work closely with analysts, scientists, and business teams to translate requirements into data models.
- Data Governance & Security: Apply governance standards and security best practices, ensuring compliance with regulations (e.g., GDPR).
- Continuous Learning: Stay updated on emerging tools and practices, contributing to team innovation and improvement.
Qualifications
- 4+ years of experience in data engineering or related roles.
- Strong knowledge of SQL, relational databases, and query optimization.
- Hands-on experience with ETL/ELT tools and cloud platforms (AWS, Azure, or GCP).
- Familiarity with data governance, security, and compliance frameworks.
- Solid understanding of batch and real-time data processing.
- Collaborative mindset with ability to work across technical and business teams.