We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior Data Engineer at FairMoney. 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, Türkiye, 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.. To gain deeper insights into FairMoney's pivotal role in reshaping Africa's financial landscape, we invite you to watch . this.  informative video. . 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.. . . . Experience. : 5+ years in data engineering or a related field, with deep expertise in . real-time data processing. .. . . Programming Skills. : Proficient in . Python or Scala.  with a strong understanding of scalable system design.. . . Data Streaming. : Hands-on experience with . Kafka. , . Kafka Connect. , and . Apache Flink. ; familiarity with . Flink CDC.  is a plus.. . . Cloud & Infrastructure. : Working knowledge of . AWS services.  such as . S3, DynamoDB, Kinesis, Kubernetes, Lambda, SageMaker, Glue, and Athena. .. . . Optimization. : Experience with . performance tuning.  of data systems for speed and efficiency.. . Company Location: India.