Remote IT Data Engineer: Fabric Data Pipelines

HR Talent Partner SA; United States; Hybrid; USD 36,000 - 54,000; Full time

Job summary

HR Talent Partner SA is seeking an IT Data Engineer for a fully remote role with the option to work from the office once a week in South Africa. The position supports permanent or contract employment and requires 8-hour work days.

You will design, develop, maintain and govern data solutions to collect, integrate, transform and enable data-driven decision making across the business. The role focuses on building data pipelines, modelling data, applying SQL transformations, and ensuring data

Qualifications

• Design, build and maintain data pipelines for reliable data movement.
• Develop data models, lakehouse structures and reporting datasets.
• Apply SQL, data transformation and automation to prepare business data.
• Monitor pipelines, troubleshoot failures and optimise performance.

Responsibilities

• Design, build and maintain data pipelines that support data movement from local systems into Microsoft Fabric.
• Develop data models, lakehouse structures and reporting datasets for operational and management reporting.
• Transform and prepare data for reporting, analytics and decision making.
• Integrate data from ERP, MES, SCADA and other systems where applicable.
• Support batch, near real-time and streaming data ingestion patterns.
• Monitor data pipelines and resolve data load issues and processing exceptions.
• Optimise data pipelines and models for performance, reliability and cost efficiency.

Skills

Data pipelines

SQL & data modelling

Data governance

Monitoring & troubleshooting

Tools

Microsoft Fabric

Job description

HR Talent Partner SA is seeking an IT Data Engineer for a fully remote role with the option to work from the office once a week in South Africa. The position supports permanent or contract employment and requires 8-hour work days.

You will design, develop, maintain and govern data solutions to collect, integrate, transform and enable data-driven decision making across the business. The role focuses on building data pipelines, modelling data, applying SQL transformations, and ensuring data