About
FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly 50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. FairMoney maintains a strong international presence, with offices in several countries, including France, Nigeria, Germany, Latvia, the UK, Trkiye, and India. In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents. We are building Engineering centres of excellence across multiple regions and are looking for smart, talented, driven engineers. This is a unique opportunity to be part of the core engineering team of a fast-growing fintech poised for more rapid growth in the coming years. Role And Responsibilities
We are seeking a seasoned
Senior Data Engineer
to join our dynamic and forward-thinking team. The ideal candidate will bring
5+ years of experience
in data engineering, with a demonstrated ability to lead teams and manage complex
data platform migrations . This role will play a key part in shaping our real-time data infrastructure and driving our data strategy forward.
Responsibilities Design, build, and maintain scalable
real-time data pipelines . Leverage
Apache Flink
to perform high-performance, advanced stream processing. Implement and manage
Apache Kafka
for real-time data ingestion and streaming workflows. Develop efficient and maintainable
Python or Scala
code for data transformation and processing. Lead and mentor junior data engineers, promoting engineering best practices. Oversee the migration of existing data platforms with a focus on
data integrity
and
minimal service disruption . Work closely with cross-functional teams to define data needs and deliver robust, scalable solutions. Ensure all data solutions adhere to
data governance
and
quality standards
throughout their lifecycle.
Languages
- English
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