Senior Data Engineer

Who we are

Yoco was founded in 2015, and we’ve been breaking down barriers, unlocking economic opportunities and opening commerce for people to thrive ever since.

We’re the payments provider for over 200 000 self-employed, and process over US$3 billion annually.

We have ±350 team members globally, all with a bias for boldness and a passion for simple, progressive solutions. We believe in uniting different people to solve hard problems, together.

Our mission of making society more equal requires a variety of people, with different backgrounds and points of view, to keep building solutions that make life easier for emerging businesses.

We’re growing fast. With growth comes compelling challenges. If you’re an ambitious problem-solver, with big ideas, a passion for doing good, bright, grounded and courageous; you’re likely to thrive at Yoco.

We don’t stop pushing. We break things to rebuild. We challenge ourselves and each other. We’re constantly evolving — and we’re doing it fast.

Grow With Us.

About the Data Engineering team

At Yoco, we prioritise investing in Data teams and tools, deliberately integrating them into everything we do. We’re data-driven and focus on questions that matter. For us, data is far more than just historical reporting—it shapes our next steps.

We’re growing fast, and so is the volume of data we collect — an ever-expanding scope for knowledge and creativity. Explore with us.

About the role

You’ll serve as a Senior Data Engineer within the Data Engineering team, which is part of the larger Engineering team at Yoco.

The Data Engineering team focuses on creating scalable, cloud-based frameworks, services and platforms. Their goal is to streamline and accelerate data processing, handling both time-to-market and data volume challenges. This encompasses data ingress, egress, transformation (including filtering, aggregation and projection) and the development of data products, utilising batch, real-time, and hybrid processing models.

What you will be doing

• Design cloud-based data processing frameworks and services

• Establish service definitions, standards, conventions, and workflows

• Develop high-quality, maintainable and performant source code

• Collaborate cross-functionally with various stakeholders to ensure smooth interaction, and timely and relevant delivery

• Perform technical interviews, mentor team members and continually drive innovation within the team by nurturing a willingness to experiment and solve complex problems together

• Take ownership of key data pipelines, ensuring their reliability, efficiency, and scalability

• Continuously evaluate, identify, and implement new AI-powered tools and methodologies to enhance the data engineering process and optimize team workflows.

About you

• A proven track record (3-5 years) with Pipeline Development & Optimisation

• Python programming

• Advanced SQL knowledge

• Good understanding of modern Agile software engineering practices

• A strong grasp of modern data processing stacks and their implementation is required, along with experience in cloud computing services (AWS/GCP) and their practical application.

• Designed cloud-based data processing frameworks and services

• Communicates effectively, fostering collaboration with diverse stakeholders across the organisation.

The people we’re looking for

We’re looking for brave people who want to grow. And as Yoco grows we hope they stay with us, long term.

Growing can be a daunting task and it’s not for everyone. We never stop pushing, we break things to rebuild, we challenge ourselves, and inspire each other to push further.

So, who are you? You’re a curious problem-solver with a passion for doing good. You’re bright and grounded, experimental and brave. You play open cards and get stuck in. You’re not afraid of change. You close the loop.

Find out more about who we are here.

We encourage applicants from diverse backgrounds to apply and ask that you please send your application in English and help us reduce unconscious bias by leaving out your picture, age, address, and other unnecessary information in your CV.