Data Engineer Analytics Intern: Build Pipelines & Dashboards

Company : PPS InsCo; Johannesburg; Vor Ort; ZAR 67.000 - 112.000; Vollzeit

Zusammenfassung

PPS InsCo in Parktown, Johannesburg, Gauteng, South Africa invites a Data Engineer Graduate Intern to help manage PPS’s data and data pipeline architecture. You will enhance data flow and create automated dashboards to deliver insights on customer management, operations, and performance metrics.

The role emphasizes collaboration with cross-functional teams, governance of data practices, and developing scalable data solutions for analytics and product innovation during a structured internship

Qualifikationen

• BSc in IT (Data Engineering) or a related field.
• Proficiency in SQL and Power BI or similar visualization tools.
• Understanding of information lifecycle management, data modeling and governance.
• Familiarity with financial services and professional client markets.

Aufgaben

• Maintain and optimize the Analytics Data Warehouse and Data Pipeline environments.
• Engage with stakeholders to manage data practices and governance.
• Research and recommend improvements to data methodologies.
• Collaborate with IT and Business teams to design data strategies and maintain architecture.
• Source and load diverse datasets into the data lake to support analytics.
• Assemble large, complex data sets aligned with business requirements.
• Develop tools for analytics and data science teams to enhance product innovation.

Kenntnisse

SQL

Data governance

Data quality

Data modeling

Ausbildung

BSc in IT (Data Engineering) or related field

Tools

Power BI

Jobbeschreibung

PPS InsCo in Parktown, Johannesburg, Gauteng, South Africa invites a Data Engineer Graduate Intern to help manage PPS’s data and data pipeline architecture. You will enhance data flow and create automated dashboards to deliver insights on customer management, operations, and performance metrics.

The role emphasizes collaboration with cross-functional teams, governance of data practices, and developing scalable data solutions for analytics and product innovation during a structured internship