Senior Data Engineer

Position

Senior Data Engineer

Job Description

• Seeking an experienced Senior Data Engineer to design, development, and optimization of
• our data pipelines, data models, and analytics infrastructure. The ideal candidate has
• strong experience in building scalable data platforms across operational systems and
• enterprise data warehouses.

Key Responsibilities

Core Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Develop high - quality data integration workflows using modern data engineering tools and frameworks.
• Optimize data processing performance, storage usage, and pipeline reliability.
• Implement data quality checks, validation rules, and monitoring dashboards.
• Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
• Manage data security, access controls, and governance best practices.
• Support production workflows, troubleshoot issues, and improve platform stability.

Additional Responsibilities for Data Models & Structures (Operational + DW)

• Own the design and maintenance of logical and physical data models for

operational systems and enterprise data warehouse (OLTP + DWH).

• Define and enforce data modeling standards, naming conventions, and schema governance.
• Translate business processes into efficient database schemas, including star/snowflake models.
• Optimize queries and database structures for high - performance analytics and real - time data access.
• Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
• Lead database refactoring efforts, schema evolution, and versioning processes.
• Perform impact analysis for schema changes across upstream and downstream systems.

Requirements

Must - Have Requirements

• 5+ years of experience as a Data Engineer or similar role.
• Strong Python Skills and Experience
• Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
• Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
• Hands - on experience with data processing frameworks (Spark, Databricks, or similar).
• Proficiency with cloud platforms (AWS).
• Experience with workflow orchestration (Airflow, Prefect, or similar).
• Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
• Proven ability to design robust data models and optimize database structures.
• Knowledge of data governance, cataloging, and metadata management.

Nice - to - Have Skills

• Familiarity with CI/CD, infrastructure - as - code, and DevOps practices.
• Experience with real - time analytics or high - volume distributed data systems

Location

EG-Cairo, Egypt (Al Emdad & Al Tamween)

Time Type

Full time

Job Category

Information Technology