Data Engineer at Flutterwave

Our mission is to power a new wave of prosperity across Africa. By enabling global digital payments on a continent that’s been largely cut off from the digital economy, we’re creating the infrastructure to power Africa’s growth in the 21st Century. Founded in 2016 by a team of ex-bankers, entrepreneurs and engineers, we provide the underlying technology platform that allows businesses to make and accept payments anywhere in Africa. Our HQ is in San Francisco with offices in Lagos, Nairobi, Accra, and Johannesburg

 The role:  

Are you an avid learner, constantly looking to improve and innovate? We are seeking a highly skilled and experienced Data Engineer to partner with in driving our data strategy. You’ll play a key role in driving our journey towards becoming a fully data-driven organization and embedding a data-first culture across the business.

Principal Duties and Responsibilities:

• Design and build high-performance, secure, and scalable data pipelines to support data science projects following software engineering best practices.
• Curate, wrangle, prepare data, and feature engineering to be used in machine learning models
• Design and develop the data and analytics platform selecting the right technologies for each problem at hand (big-data stack, SQL, no-SQL, etc.)
• Build a modular pipeline to construct features and modeling tables.
• Build a sense of trust and rapport that creates a comfortable & effective workplace and experience in working as part of an agile squad
• Work with the Data Analytics and Science team to understand the business needs and build impactful analytics solutions.
• Coordinate and collaborate with the Data Analytics team & other engineering teams to align on our roadmap

Competency and Skill Requirement:

• Bachelor’s degree in computer engineering or related field
• 4+ years’ experience in a data role (Data Engineer, Data Analyst, Analytics Engineer, etc.)
• 2+ years of hands-on experience building data pipelines in production and the ability to work across structured, semi-structured, and unstructured data.
• Hands-on experience implementing ETL (or ELT) best practices at scale .2+ years of experience in ML pipeline for streaming/batch workflow.
• Hands-on knowledge and experience in working with the modern data stack and cloud data platforms (Snowflake, BigQuery, Redshift, DBT)
• Hands-on knowledge and experience with orchestration tools (Airflow, Prefect, or Dagster)
• Professional experience using Python for data processing, SQL, Git (as source code versioning and CI/CD), and Apache Kafka.
• Good understanding of Data modeling and Data Architecture.
• Working experience with data governance tools.
• Exceptional communication skills and ability to support both technical and non-technical stakeholders.
• Natural ability to manage multiple initiatives and clients.
• Authorization to work in the country without sponsorship.

Method of Application