Senior Data Engineer
At BBI · Egypt; New Cairo, Egypt
- Data and ML
- Senior
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
- 29 April 2026
- First seen by us
- 15 October 2026
- Last checked
- 3 hours ago
Job description
From BBI’s job post, as they wrote it.
ABOUT THE ROLE
We are looking for a Senior Data Engineer with strong Microsoft Fabric expertise to join a fast-growing data engineering team. You will be responsible for designing, building, and optimizing data solutions on the Microsoft Fabric platform — working across the full data engineering lifecycle from ingestion to serving.
The ideal candidate brings deep hands-on experience with Fabric, a strong engineering mindset, and the ability to work independently in a collaborative, delivery-focused environment.
Read the full description
WHAT YOU WILL DO
* Design and build end-to-end data pipelines using Microsoft Fabric Data Factory
* Develop and maintain Fabric Spark Notebooks for data transformation and processing
* Migrate legacy data pipelines and workloads onto the Microsoft Fabric platform
* Implement and manage data warehouse solutions using Fabric Warehouse and OneLake
* Build and maintain Medallion architecture (Bronze / Silver / Gold) on OneLake
* Design and implement SCD Type 1/2 patterns and complex transformation logic in PySpark and T-SQL
* Develop and maintain CI/CD workflows using Fabric Deployment Pipelines and Azure DevOps
* Collaborate with architects and business stakeholders to translate requirements into scalable data solutions
* Ensure data quality through reconciliation, testing, and validation across environments
* Support UAT, parallel run activities, and production cutover cycle
REQUIRED SKILLS
• Microsoft Fabric — Fabric Data Factory, Spark Notebooks, Fabric Warehouse, OneLake, Deployment Pipelines
• Azure Data Factory —pipelines, master/child patterns, Copy / Lookup / ForEach / Stored Procedure activities
• PySpark and Python — Delta Lake read/write, transformation logic, file I/O on OneLake / ADLS
• T-SQL — complex stored procedures, MERGE, SCD logic, dynamic SQL
• Medallion architecture (Bronze / Silver / Gold) implementation on Fabric or Databricks
• Databricks — notebooks, dbutils, workspace files, cluster configuration
• CI/CD with Azure DevOps and Git — branching strategy, PR-gated deployments, environment promotion
• Experience in Analysis, Design, Development, Implementation, Testing and Support of Data Warehousing and Data Integration Solutions and ETL data pipelines
• 5+ years in data engineering with at least 1 year hands-on in Microsoft Fabric
NICE TO HAVE
• Microsoft Fabric certification (DP-700 or equivalent)
• Experience migrating from Databricks or ADF to Microsoft Fabric
• Financial services or investment data domain knowledge
• Microsoft Purview — lineage, sensitivity labels, workspace scanning
• Power BI Direct Lake mode and semantic model design
• Experience in ETL design and development, Data Quality, and Data Engineering using Informatica.
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