Senior Data Engineer - Pipelines, BI & AI Analytics

TFG; Wes-Kaap; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

TFG is seeking a Data Engineer IV to lead the design, implementation and maintenance of advanced data pipelines that form the company’s data platform. You will enable data-driven decisions by delivering batch and streaming processing, data warehouses, dashboards, and AI-enabled analytics.

You will collaborate with stakeholder teams to define reporting requirements, build scalable solutions, and drive digital transformation across Group Risk and Assurance.

Qualifications

• Bachelor’s degree in CS, Informatics, Statistics, or related field.
• 3+ years’ experience in Data Analytics/BI or similar environment.
• Strong storytelling and presentation capabilities.
• Experience in analysing and interpreting large datasets.

Responsibilities

• Assist business teams with operational metrics, dashboards, and reporting.
• Design and develop interactive visualisations using reporting tools.
• Provide ad hoc reporting, data analysis and decision-support insights.
• Develop and implement improved analytical methods and models.
• Analyse historical data to identify trends for strategic decisions.
• Develop, test and maintain predictive analytic models.
• ETL data from multiple sources into reporting platforms.
• Define reporting requirements with stakeholders and translate into scalable solutions.
• Establish standards for data development and AI model operation.

Skills

Power BI

SQL/NoSQL

Alteryx/SSIS

AI in audits

Predictive analytics

R/Python

Storytelling/Presentation

Education

Bachelor's degree in Computer Science / Informatics / Statistics / related field

Tools

Pyramid

SQL Server Integration Services (SSIS)

Power BI

Job description

TFG is seeking a Data Engineer IV to lead the design, implementation and maintenance of advanced data pipelines that form the company’s data platform. You will enable data-driven decisions by delivering batch and streaming processing, data warehouses, dashboards, and AI-enabled analytics.

You will collaborate with stakeholder teams to define reporting requirements, build scalable solutions, and drive digital transformation across Group Risk and Assurance.