Senior Cloud Data Engineer - Azure & Fabric

Standard Bank Group; Gauteng; On-site; ZAR 1,000,000 - 1,800,000; Full time

Job summary

Standard Bank Group is seeking an experienced Data Engineer with strong Azure and Microsoft Fabric expertise to design and deliver enterprise-scale data solutions. You will translate business requirements into scalable data pipelines, implement governance, and work closely with IT, security, and business teams.

The role emphasizes cloud migration, data modelling, ETL, and collaboration within an Agile/DevOps environment to ensure reliable, compliant data platforms across regulated banking

Qualifications

• 7+ years' experience as a Data/SQL/Software Engineer translating business into technical solutions.
• Experience delivering enterprise-scale data engineering and software capabilities.
• Strong expertise in Microsoft Fabric and Azure with SQL, Python, PySpark, ETL pipelines.
• Experience migrating on-premises SQL Server/data warehouses to Azure/Microsoft Fabric.

Responsibilities

• Design, code, test, debug, and maintain data engineering programs.
• Work within SDLC, Agile, DevOps and ITSM practices including CI/CD and release management.
• Implement data governance, security, and data quality measures.
• Support cloud transformation and data migration initiatives.

Skills

Data engineering

Azure

Python

PySpark

ETL

Data modelling

Data warehousing

APIs

CI/CD

Git

Education

First Degree in Information Studies or Information Technology

AZ-900

DP-700

Tools

Microsoft Fabric

Azure

SQL Server

Data Factory

Power Apps

Power Automate

Job description

Standard Bank Group is seeking an experienced Data Engineer with strong Azure and Microsoft Fabric expertise to design and deliver enterprise-scale data solutions. You will translate business requirements into scalable data pipelines, implement governance, and work closely with IT, security, and business teams.

The role emphasizes cloud migration, data modelling, ETL, and collaboration within an Agile/DevOps environment to ensure reliable, compliant data platforms across regulated banking