SSC HR Solutions

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeCairo, Cairo Governorate, EgyptNo salary listed

About the Job

Requirements

A bachelor's degree in Computer Science, Data Engineering, or IT is required.
Three to five years of experience in data engineering is required.
Professional proficiency in Arabic and English is required.
Experience with Azure Data Factory, Synapse Analytics, and Databricks is required.
Experience with SQL, Python, and Spark for data transformation is required.
Experience integrating D365 data using OData, Data Integrator, and dual write is required.
Knowledge of data quality and testing in pipelines is required.
Experience with Git and Azure DevOps for pipeline code management is required.

Responsibilities

Design, build, and maintain ETL/ELT pipelines using Azure Data Factory, Synapse, or Databricks.
Integrate data from D365 ERP, point-of-sale systems, e-commerce, and external sources into the data warehouse.
Monitor pipeline performance and promptly resolve data failures.
Implement data quality checks and validation within pipelines.
Collaborate with Data Analysts and BI Developers to resolve data issues.
Maintain data lineage and documentation for all pipelines.
Build and maintain data pipelines, ETL/ELT processes, and data integration solutions that move and transform data across the data platform to support analytics, reporting, and AI applications.

Desired Qualifications

Azure Data Engineer Associate certification is preferred.

Data Engineer

SSC HR Solutions · Cairo, Egypt · — · Posted 2026-08-11

Workplace: on_site

Department: Engineering

Description

JOB DETAILS:

Position Title: Data Engineer

Reports to: Data and AI Manager

Business Line/ Department: Data and Automation/it

3. JOB PURPOSE:

The Job Holder is Responsible to Builds and maintains data pipelines, ETL/ELT processes, and data integration solutions that move and transform data across the data platform to support analytics, reporting, and AI applications.

4. Job Deliverables - Accountability

Description

Deliverables

Pipeline Success Rate ≥99%

Data Freshness SLA Meets agreed refresh schedule

Data Quality Score ≥95%

Pipeline Documentation 100%

Incident Response ≤2 hours for pipeline failures

5. Know How (applying of knowledge & skills in job tasks)

Description

Data Pipeline Development

• Design, build, and maintain ETL/ELT pipelines using Azure Data Factory, Synapse, or Databricks.

• Integrate data from D365 ERP, POS, e-commerce, and external sources into the data warehouse.

• Monitor pipeline performance and resolve data failures promptly.

Requirements

Data Quality

• Implement data quality checks and validation within pipelines.

• Collaborate with Data Analysts and BI Developers to resolve data issues.

• Maintain data lineage and documentation for all pipelines.

Note: The principal accountabilities listed above are an illustrative list and not an exhaustive list. Additional responsibilities may be added from time to time depending on organizational requirements.

6. QUALIFICATIONS, EXPERIENCE:

 Minimum Qualification

Bachelor degree in Computer Science, Data Engineering, or IT.

Certified in Azure Data Engineer Associate preferred

 Minimum Experience

Minimum Experience of 3–5 years in data engineering.

 Other Requirement (Skills Set)

Azure Data Factory, Synapse Analytics, Databricks

SQL, Python, Spark for data transformation

D365 data integration: OData, Data Integrator, dual write

Data quality and testing in pipelines

Git and Azure DevOps for pipeline code management

Arabic (Professional) · English (Professional)

Apply

Apply at SSC HR Solutions

About the Company

SSC HR Solutions

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

Recently Posted Jobs

Explore more opportunities at SSC HR Solutions

See more jobs