Data Engineer
Nawy Real Estate Open · verified Oct 24, 2026 At a glance
Mid-level Data Engineering role at Nawy Real Estate. Maadi · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after scalable pipelines that bring in data from internal databases and external APIs, then process and reshape it
- Tune pipeline performance and reliability so data arrives accurately and on time
- Add validation checks to catch data problems and protect data integrity
- Model data, design schemas, and create marts and business layers for analytics and reporting
- Coordinate with data users and infrastructure teams to shape solutions and maintain storage and processing systems
What you bring
- At least one year as a data engineer or in a comparable role
- Advanced SQL skills, including complex queries and query tuning
- Python proficiency and experience developing data warehouses and data models
- A computer science, information systems, or related technical degree, or equivalent work experience
Who this fits
This role suits someone comfortable building data pipelines and warehouse models, with strong SQL and Python skills. You'll work onsite in Maadi, Egypt.
From the employer
Nawy Proptech is in search of a highly motivated and talented Data Engineer to become a valuable addition to our dynamic team. As a Data Engineer at Nawy, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.
- 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 1 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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