Who we are

Our mission is to digitize financial services. We are building the tools and services that will enable developers to launch, optimize, & scale financial platforms and services. Our thesis is simply the fact that — financial innovation cannot exist without an Open Finance infrastructure. Essentially, the growth of the African Fintech industry is intrinsically tied to the success of an infrastructure like Okra.

Okra powers the tools that millions of people rely on to plan and manage their finances today. We are proudly working with hundreds of companies like Interswitch and D-local, and many of the largest financial institutions to make it easy for people to securely connect their accounts to the apps and services they choose. Okra’s network covers over 100 banks and financial institutions across Nigeria, South Africa, Kenya, and Ghana.

We believe that by building Africa’s Open Finance infrastructure, we enable developers to create better, fairer financial services for everyone. We are dedicated to removing the complexity around accessing financial information and payment infrastructure for everyone.

The role

It’s an amazing time to join the Data Science team at Okra. As a Data Engineer, you will process large volumes of data to support the Data Infrastructure team. We will rely on your expertise to build data products to extract valuable business insights for our customers.

In this role, you should be highly skilled with data processing tools, and be great at writing production level migration and preprocessing pipelines. Critical thinking and problem-solving skills are also key essential elements for this role. We also want to see a passion for data and insights, with a goal of helping our company build better data products.

The successful candidate will: 

  • Architect and design data engineering systems.
  • Build production level ETL pipelines for structured, unstructured, and graph data
  • Improve existing data engineering ETL processes
  • Analyze large amounts of information to discover trends and patterns.
  • Collaborate with engineering and product development teams
  • Propose solutions and strategies relating to data challenges.


  • BSc/BA in Computer Science, Engineering or relevant field.
  • 3+ years experience as a Data Engineer.
  • Strong problem solving skills.
  • Expert in Python, Java, or Scala
  • Expert in data workflow scheduling (Airflow)
  • Extensive experience with databases such as MongoDB, Postgres, and DynamoDB
  • Experience with graph databases such as Neo4j, or AWS Neptune
  • Hands-on experience with Apache Spark either with Python or Scala.
  • Experience with data warehousing tools such as AWS Redshift, and Snowflake
  • Cloud computing with AWS.
  • Containers (Docker) and Container Orchestration Framework (Kubernetes)

Nice to have:

  • Analytical mind and business acumen.
  • Machine Learning Model lifecycle management using Mlflow, and Kubeflow
  • Ability to learn new skills quickly
  • Excellent communication and presentation skills.

Referral Bonus

→ Get up to $500 when you successfully refer someone to join Okra. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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