The Nani Employee Leasing Company (Nani EL) is an employer professional organization focusing mainly on leasing out low and medium cadre staff in all sectors of the economy. Specifically, Nani EL deploys well trained domestic assistants, nursery school assistants, office assistants and factory cleaners to its individual and corporate clients.
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Software & Data Engineer (Logistics & Finance Analytics)
- Job TypeFull Time
- QualificationBA/BSc/HND
- Experience3 years
- LocationNairobi
- Job FieldData, Business Analysis and AI 
Role Summary
- As a Software & Data Engineer (Logistics & Finance Analytics) at eWAKA, you will play a key role in designing and developing scalable software solutions, optimizing data pipelines, and driving real-time actionable analytics for fleet management, last-mile delivery operations, and finance tracking. Your work will include engineering financial data systems, developing backend infrastructure, and implementing AI-driven insights to improve operational efficiency, cash flow, and financial planning.
Daily Responsibilities
Software Engineering & Platform Development
- Design, build, and maintain scalable software solutions for fleet management, logistics, and finance tracking platforms.
- Develop backend APIs and microservices to support real-time tracking, payment processing, and financial reporting.
- Integrate IoT-enabled bike telemetry, GPS tracking data, and digital payments into company’s ecosystem.
- Work with cross-functional teams (finance, operations, and engineering) to develop real-time payment reconciliation tools.
- Ensure software security, reliability, and performance optimization through best practices in data governance and data management.
Data Engineering & Finance Analytics
- Extract, clean, and process large datasets from IoT devices, fleet management systems, and finance platforms.
- Develop ETL (Extract, Transform, Load) pipelines for real-time financial tracking and risk assessment.
- Implement predictive analytics models for revenue forecasting, fleet utilization, and delivery optimization.
- Use SQL, Python, and cloud-based data solutions to analyze and track cash flow, rider payments, and operational costs.
- Work with Power BI, Looker, and/or Tableau to create interactive dashboards for financial insights.
AI, Machine Learning & Logistics Optimization
- Leverage predictive and prescriptive analytics to optimize fleet performance by allocating riders, anticipating maintenance needs, and planning efficient routes.
- Implement machine learning models to forecast revenue and detect financial risks.
Collaboration & Continuous Improvement
- Work closely with finance, operations, product, and engineering teams to define business needs and translate them into technology solutions.
- Support data governance and compliance to ensure financial data integrity and security.
- Stay updated with emerging software development, fintech, and data analytics technologies.
Requirements
Technical Expertise
- Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related field.
- 3+ years of experience in software development or data engineering with exposure to finance and operational applications.
- Strong proficiency in Python, SQL, and cloud platforms (AWS, GCP, or Azure). Preferred proficiency in BigQuery.
- Experience with backend development (Node.js, Django, Flask, FastAPI, etc.).
- Proficiency in data visualization tools (Power BI, Looker, Tableau, or Google Data Studio).
- Experience working with financial modeling, accounting systems, or payments infrastructure is a plus.
- Bonus: Experience with AI/ML, time series analysis, or mathematical optimization
Soft Skills & Competencies
- Strong analytical and problem-solving skills.
- Ability to translate complex data insights into actionable business strategies.
- Excellent communication skills to collaborate with cross-functional teams.
- Self-motivated and adaptable in a fast-paced startup environment.
Method of Application
Interested candidates should send their CV detailing their experience and suitability for the role to [email protected]. Put subject of the email: salary expectation and job title. Failure to follow these instructions will result to disqualification. Applications will be reviewed on a rolling basis.