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Senior Data Engineer – Core Platform & Shared Services at 4G Capital

5 Years
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Company Details
Name:4G Capital
Industry: Banking
Description: 4G Capital (4th Generation Capital) is Africa's fastest fintech providing ethical credit services to those who require it most. We provide rapidly accessible and affordable unsecured loans with strict affordability criteria to prevent unmanageable debt. Our customers are mainly small businesses and entrepreneurs who use our credit to grow their businesses and provide for the unforeseen.
Job Description

What you’ll be doing

  • Advanced Python & API Engineering
  • Design, build, and maintain scalable APIs using Python (FastAPI / Flask)
  • Develop and deploy containerised applications
  • Integrate data and ML services across core fintech and microservices platforms
  • Data Architecture & SQL Engineering
  • Optimise complex SQL queries for high-performance analytics
  • Design robust data models supporting reporting and predictive use cases
  • Build and maintain feature stores and custom ETL pipelines
  • Enrich internal datasets with external data sources for ML workloads
  • Cloud, DevOps & Governance
  • Manage GCP infrastructure using Terraform (IaC)
  • Own CI/CD pipelines, automated deployments, and testing frameworks
  • Uphold strong data governance, privacy, and ethical standards

Who we’re looking for

  • You’re a seasoned data engineer who enjoys building reliable systems that scale — and you care deeply about quality, impact, and collaboration.

You’ll bring:

  • A Bachelor’s degree in Computer Science, Engineering, Finance, Economics, or related field
  • 5+ years’ experience in data engineering (with senior-level responsibility)
  • Expert-level Python skills for APIs, automation, and backend services
  • Advanced SQL and data modelling expertise (BigQuery / MySQL)
  • Strong experience with Google Cloud Platform (BigQuery, Pub/Sub, Dataflow, Vertex AI)
  • Hands-on CI/CD and Git-based workflows
  • Experience in fintech or financial services (strong advantage)
  • GCP Professional Data Engineer or ML Engineer certification (added advantage)
Salary: Discuss During Interview
Education: Diploma
Employment Type: Full Time

Key Skills

data  Information Technology 
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