Senior-level

The ideal candidate should possess 4-6+ years of professional experience in a Data Engineering or related role.

The ideal candidate will build responsive web apps and dashboards, integrate APIs; ensure accessibility, performance, and secure UX, write unit/e2e tests, collaborate on design system.

The ideal candidate should be proficient in Kotlin/Spring Boot or .NET Core, REST/gRPC, SQL (Oracle/Postgres), Redis, RabbitMQ/Kafka, Docker, CI/CD (Azure DevOps), testing (JUnit/xUnit).

The ideal candidate will define test plans, write and automate functional/API/regression tests, performance & security sanity, maintain test data/environments, track defects to closure, CI test gates & reporting.

The ideal candidate will oversee projects across the full software development lifecycle (design, build, test, deploy).

The Ideal candidate is expected to be providing the right leadership to branch staff and inculcate a high-performance culture at branch level.

The ideal candidate will be responsible for leading the development and execution of the bank’s Commercial strategy in Kenya.

The ideal candidate will continuously research, evaluate, and implement new technologies to maximize development efficiency.

The ideal candidate will facilitate key Agile ceremonies (Sprint Planning, Reviews, Retrospectives) with a focus on technical outcomes and continuous improvement.

We seek a highly skilled and experienced LMS Developer/Programmer to upgrade, reinvent, and scale its current learning platform for the PHEM project.

The ideal candidate will compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement.

The ideal candidate will design, build, and maintain scalable, secure, and high-performance backend systems that power our digital platforms.

The ideal candidate should strong understanding of IT infrastructure, cybersecurity, data privacy, and control frameworks (e.g., COBIT, ISO 27001).

We are looking for a Data Engineer experienced in Databricks and cloud-native data architecture to build scalable data pipelines and optimize analytics workflows.

The ideal candidate will prepare daily, weekly, and monthly service performance reports for internal and external stakeholders.