Senior Data Engineer

Job not on LinkedIn

🕒 August 20

🇪🇬 Egypt – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 30%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BlackStone eIT

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

BlackStone eIT is a global technology company specializing in transformative enterprise solutions and intelligent design. The company offers a wide range of innovative products and services, including augmented reality, blockchain, intelligent chatbots, emotion scanning, optical character recognition, robotics, facial and object recognition, and smart analytics. With a strong focus on digital innovation, BlackStone eIT provides customized solutions such as Arabic NLP engines, digital workplaces, facial attendance tracking, and schedulers. They aim to drive significant impact for forward-thinking brands through their expertise in cutting-edge technologies and exceptional user experiences. BlackStone eIT operates in various sectors, enhancing business efficiency and customer engagement worldwide.

📋 Description

• Contribute to the design of scalable and secure data solutions aligned with business and technical needs • Develop and optimize ETL/ELT pipelines to ingest, transform, and load data from diverse sources • Analyze structured and unstructured data sources and recommend ingestion, processing, and classification strategies • Assist in building a robust data layer supporting batch and real-time processing • Implement data validation and cleansing strategies to ensure quality and governance compliance • Write and optimize SQL queries for large datasets • Support migrations from legacy systems to cloud platforms with accuracy and minimal downtime • Monitor data workflows, troubleshoot bottlenecks, and propose improvements • Collaborate with analysts, scientists, and business teams to translate requirements into data models • Apply data governance and security best practices, including regulatory compliance such as GDPR • Stay current on emerging tools and practices and contribute to team innovation

🎯 Requirements

• 5+ 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