Intern Data Engineer (6 Months)

Cape Town, Western Cape, South Africa

Kuda Technologies Ltd

Kuda, the money app for Africans licensed by the CBN. Zero maintenance fees, free transfers, automatic savings & investments. Join Kuda today!

View company page

Kuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet.
We’re a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so it’s only right that we ended up with the name ‘Kuda’ which means ‘love’ in Shona, a language spoken in the southern part of Africa.
We’re giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices.
We’ve raised over $90 million from some of the world's most respected institutional investors, and we’re rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK.

Role Overview

This six-month internship will primarily focus on SQL Server Integration Services (SSIS), aiming to develop foundational data engineering skills. Interns will engage in building and enhancing data pipelines that are aligned with our business objectives. This role is suited for individuals eager to begin their career in data engineering, offering a supportive environment to learn and grow.

Learning Opportunities

  • Direct exposure to Microsoft SQL Server and Azure SQL DB.
  • Hands-on experience with data integration and transformation in a cloud environment, using tools like Google Big Query and Looker.
  • Collaborative work with experienced data engineers, data scientists, and business stakeholders.
  • Introduction to Python and other data engineering tools.
  • Potential conversion of the internship into a permanent Trainee Data Engineer position, based on performance.
  • Hybrid work model and flexible hours to promote a balanced work and learning environment.
  • Opportunity to be part of a dynamic team transforming banking for Africans.
  • Experience in consulting and data collection that contributes to a strong foundation in data management practices

Requirements

  • Strong interest in data engineering and a proactive approach to learning in a professional
    setting.
  • Basic knowledge of SQL and familiarity with programming languages like Python.
  • Enrollment in or recent graduation from a program in Computer Science, Engineering or any related field, demonstrating strong analytical and problem-solving skills.
  • Excellent organizational skills and a detail-oriented mindset.
  • A passion for leveraging technology to innovate within the financial sector

Benefits

At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits to our permanent employees in areas including but not limited to:

  • Pension
  • Competitive annual leave plus bank holidays
  • Group life insurance
  • Health insurance
  • L&D training
  • We are advocates of work-life balance and offer a 3 day per week remote working option

Kuda is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.

We don’t regard colour, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status. If you have a disability or special need that requires accommodation, please let us know.

Apply now Apply later
  • Share this job via
  • or

Tags: Azure Banking BigQuery Computer Science Consulting Data management Data pipelines Engineering Finance Looker Pipelines Python SQL SSIS

Perks/benefits: Career development Flex hours Health care Insurance

Region: Africa
Country: South Africa
Job stats:  17  2  0
Category: Engineering Jobs

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.