Senior Data Engineer

منذ 4 أسابيع

New Cairo Cairo, 00, مصر Quantum Talent Group دوام كامل
\*\*\*\*We’re Hiring for a Senior Data Engineer\*\*\*\*

Location:
New Cairo, Egypt (On-site)

Experience:
5–8 years We are supporting a leading company in establishing a specialized technology Delivery Hub in Egypt. The new hub will act as a regional technology engine, delivering enterprise-scale data, AI and intelligent automation solutions. It will also establish a sustainable Center of Excellence for AI and advanced analytics. We are looking for a hands-on Senior Data Engineer to design, build and optimize scalable data platforms and pipelines that support analytics, reporting, machine learning and enterprise AI solutions.

Key responsibilities

- Design, develop and maintain reliable, scalable data pipelines using Azure Data Factory and/or Microsoft Fabric.
- Build modern Lakehouse and data-processing solutions using Delta Lake.
- Develop complex data transformations and integrations using Python and advanced SQL.
- Ingest and integrate structured and unstructured data from multiple enterprise sources.
- Design efficient data models and analytics-ready datasets.
- Implement data-quality checks, validation controls, monitoring and alerting.
- Optimize pipelines and queries for performance, scalability and cost.
- Apply software-engineering principles to data development, including modularity, testing, documentation and code reviews.
- Build and maintain CI/CD pipelines for automated testing and deployment of data solutions.
- Troubleshoot data-pipeline failures and resolve production issues.
- Mentor junior engineers and support technical knowledge sharing.

Requirements:

- 5-8+ years of professional data-engineering experience.
- Strong hands-on experience with Azure Data Factory and/or Microsoft Fabric.
- Advanced SQL skills, including complex queries, performance optimization and data transformation.
- Strong Python development experience for data-processing and automation workloads.
- Practical experience with Delta Lake and modern Lakehouse architecture.
- Experience building production-grade ETL and ELT pipelines.
- Strong understanding of data modelling, data warehousing and integration patterns.
- Experience implementing CI/CD for data pipelines and data-platform components. Desirable

experience:

- Azure Databricks, PySpark or Apache Spark.
- Azure Data Lake Storage and other Azure data services.
- Data governance, cataloguing, lineage and data-quality frameworks.
- Power BI or downstream analytics integration.
- Experience supporting machine-learning, generative-AI or advanced-analytics use cases. Why consider this opportunity?
- Join a newly established technology Delivery Hub at an early and influential stage.
- Develop solutions using modern Azure, Fabric and Lakehouse technologies.
- Influence engineering standards, delivery practices and the technical culture of a growing team. Interested candidates are invited to apply with an up-to-date CV or contact me directly for a confidential discussion.