Senior Data Engineer
Nawy Real Estate Open · verified Oct 24, 2026 On-site Maadi Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Nawy Real Estate. Maadi · full-time.
Pay not stated Data Engineer salary
RoleData Engineering
SenioritySenior
LocationMaadi
WorkplaceOn-site
EmploymentFull-time
PostedJul 7, 2026 · 3mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build pipelines that collect, process and reshape information from company databases and outside APIs
- Tune pipelines to deliver dependable, accurate data on time, and add checks to catch and fix quality issues
- Turn requests from data scientists, analysts and stakeholders into suitable data designs
- Help IT and infrastructure teams put databases, warehouses and cloud services into operation and keep them running
- Create data models, schemas, marts and business layers for reporting and analysis
What you bring
- At least four years working as a data engineer or in a comparable position
- Strong SQL skills for complex queries and improving query performance, plus Python proficiency
- Hands-on data warehouse development and data modeling experience
- A relevant technical degree, such as computer science or information systems, or equivalent work experience
- Familiarity with AWS, Azure or Google Cloud Platform
Who this fits
This role suits a senior data engineer comfortable spanning pipeline work, warehousing and analytical data design. The position is onsite in Maadi, Egypt.
From the employer
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions.
- Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure.
- Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs.
- Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data.
- Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity.
- Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities.
- Perform data modeling and schema design to support analytical and reporting requirements.
- Design and build data marts and business layers to facilitate efficient data access and analysis.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or other related technical field or equivalent work.
- Proven experience as a Data engineer or similar role, with at least 4 years of experience.
- Advanced SQL knowledge/experience - complex queries and query optimization.
- Proficiency in programming languages such as Python.
- Experienced in the development of data warehouses and proficient in data modeling.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming is considered a plus.
- Strong problem-solving skills and attention to detail.
- The ability and willingness to learn new technologies on the job.
- Self driven, highly motivated, fast learner, ambitious and creative.
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