Data Management Lead
At BBI · Egypt; New Cairo, Egypt
- Data and ML
- Lead
Where you’ll work
Hybrid, based in Cairo
“Egypt”
From the location.
“New Cairo, Egypt”
From the job board field.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 28 June 2026
- First seen by us
- 15 October 2026
- Last checked
- 18 hours ago
Job description
From BBI’s job post, as they wrote it.
Job Requirements:
• 8-11 years of work experience
• Strong leadership skills to motivate and guide your team members
• Have Decision-making and organizational abilities to help you effectively manage workload
• Able to give clear instructions and set expectations
• Strong technical skills
• Excellent analytical, organizational, and problem-solving and skills
• Has mature written and verbal communication skills, as well as presentation skills.
Read the full description
• Able to handle multiple concurrent projects, with an ability to prioritize and manage projects effectively.
• Experience in coordinating with data stewards and analysts to understand business requirements, functional requirements, and conversion of business rules into technical specifications
• Experience in Analysis, Design, Development, Implementation, Testing and Support of Data Warehousing and Data Integration Solutions and ETL data pipelines
• Experience SQL, UNIX/Linux, various programming languages like Java and Python, orchestration tools and processes or other directly related experience.
• Good experience in end-to-end implementation of DW & BI projects, especially in data warehouse and mart developments
• Experience in Relational Modeling, Dimensional Modeling, Modeling of Unstructured Data and business process relationships
• Experience with Big data technologies
• Good understanding of Data integration, Data quality paradigms and data governance/ data architecture concepts
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP for data engineering and analytics workloads; any relevant cloud certification (e.g. AWS Certified Data Analytics, Azure Data Engineer, GCP Professional Data Engineer) is a plus
• Experience with modern cloud data platforms; Databricks or Snowflake is highly recommended for data lakehouse, data warehousing, and large-scale analytics use cases
• Working knowledge of Apache Spark for distributed data processing and large-scale transformations; experience with PySpark or Spark SQL is a plus
• Familiarity with CI/CD practices for data pipelines and version control using Git/GitHub, including branching strategies, pull requests, and automated pipeline deployment.
• Experience working in Agile framework and project management methodologies.
• Full lifecycle project experience as a developer in designing and developing ETL jobs.
• Ability to mentor others, including peers and application developers, clearly explain complex technical issues to business analysts and end users
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