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Senior Data Engineer (Product Health) - Finance Services Industry- Stellenbosch/Cape Town

Avatar Human Capital
23 hours ago
Full-time
Remote
South Africa
Automation

Introduction

A fast pace company's Business Improvement & Optimisation team is seeking an experienced Senior Data Engineer to support and expand the data engineering pipelines powering Product Health Dashboards across Retail, Business, and Insurance.
These dashboards are already successfully implemented across multiple product teams. The focus of this role is to maintain, enhance, and scale the underlying data pipelines to ensure high data integrity, reliability, and performance — enabling accurate product health insights and executive reporting.
You will work closely with Product Heads, Analysts, Architects, and Business stakeholders to continuously evolve a world-class data ecosystem.

  • Hybrid (Mainly Onsite 3 days a week)
  • Contract: Initial 6 months Department: Business Improvement & Optimisation
  • R650 per hour 

Duties & Responsibilities

Key Responsibilities
Data Pipeline Development & Maintenance
Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data
Develop solutions on AWS
Ensure pipelines are secure, performant, monitored, and production-ready
Implement logging, alerting, and monitoring mechanisms
Data Modelling & Architecture
Design and optimise data models (normalised and denormalised)
Align with enterprise data architecture and metadata standards
Support analytics and reporting requirements
Data Quality & Governance
Ensure data accuracy, completeness, and consistency
Support governance requirements (classification, retention, privacy)
Conduct unit and integration testing of data pipelines

Reporting & Visualisation Support
Support and enhance Power BI dashboards
Contribute to monthly Exco reporting
Develop new KPIs and reporting features
Stakeholder Collaboration
Partner with Product teams and Analysts to translate business needs into technical solutions
Contribute to technical solution documentation
Participate in onboarding and knowledge transfer sessions
Documentation & Handover
Maintain clear technical documentation:
Architecture diagrams
Data flow specifications
Transformation logic
Implementation guidelines
Provide structured handover to internal teams where required
Deliverables
Technical Solution Design Documents
Production-ready operational data pipelines
Optimised data models and schemas
Monitoring and logging implementation
Complete documentation and handover packs


 

 

 

Desired Experience & Qualification

Minimum Requirements

Bachelor’s Degree or National Diploma in:

  • Computer Science
  • Information Systems
  • Data Science
  • Engineering
  • Mathematics / Statistics Or a related field

 

  • 5+ years’ experience as a Data Engineer in enterprise environments
  • Strong experience with ETL/ELT pipeline design and optimisation
  • Experience working with AWS data services
  • Advanced SQL and data modelling expertise
  • Experience supporting BI tools (Power BI advantageous)
  • Understanding of data governance and data quality practices
  • Experience working in agile, cross-functional product teams

Package & Remuneration

  • Hybrid (Mainly Onsite 3 days a week)
  • Contract: Initial 6 months Department: Business Improvement & Optimisation
  • 40 hours per week
  • Maxiumum R650 per hour

Interested?