Data Engineer

Who is Ezra?

Company overview:

Ezra provides B2B digital lending solutions for emerging markets in partnership with mobile and digital wallet operators and financial service providers. Ezra supports 24 operations in 23 countries, across Africa, the Middle East and Asia. Our key office locations are in Nairobi, Kenya and Dubai, UAE.

Our flagship products are Airtime Credit Services (ACS), Nano and BNPL.

ACS is an airtime or data advance offered to prepaid mobile subscribers at the point of low credit.

Nano is a micro cash advance offered to mobile wallet users on demand.

BNPL facilitates payment installments for products and services

As a FinTech company, our business is entirely technology and data driven, from determining subscriber eligibility, generating relevant offers, managing risk, loan issuance, recovery, optimizing performance and reporting, reconciliation and billing.

Each day we process approximately 21M loan requests and 1.4 TB of data across our markets. This process needs to be robust, reliable and secure.

But it doesn’t end there. We’re exploring new ways of using our platform and transactional data to improve our products and develop new product opportunities.

Data Engineer

Location: Nairobi, Kenya

Reports to: Manager - Data Engineering & Architecture

About the role:

You will be working as part of the data Engineering team on the automated data processing pipelines. Majority of the tasks will be development and maintenance of various ETL pipelines. The purpose of the pipelines is to make the data available for various internal and external consumers. This includes receiving data from our partners, validating it and making it available for the customer scoring process. It also includes all the internal and external reporting, revenue assurance and data archiving. All these processes are essential for the company day to day operations at scale.

Key responsibilities:

Development and maintenance of data processing pipelines

Participate in the design, implementation, and release of data science initiatives

Deliver high quality, testable, secure, readable, and documented software

Collaborate effectively in English, with local and remote peers across different teams in the organization

Assist in the evaluation of new technologies and initiatives

Minimal Qualifications and Experience:

Working proficiency with Python or any other programming or scripting language

Working proficiency with SQL or R

Advanced working proficiency with any RDBMS, including deployment and performance optimizations.

Experience with GIT, automated testing and CI/CD

Familiarity with the Linux environment as a user and developer (Debian is a plus).

Minimum 2+ years working experience

Ideal Qualifications:

Deep understanding of PostgreSQL database system

Experience with software development best practices.

Experience with system monitoring and issue debugging.

Experience with system scaling and addressing continuous integration

Knowledge of database administration

Working proficiency in Java or C/C++ is a plus

Willingness to learn new technologies

Modelling and data science experience is a plus

Sounds like you? Apply today!