Royal Voluntary Service (RVS) is seeking a mid-level Data Engineer to join their technology team, playing a critical role in developing platforms that support volunteers in delivering essential services.
Kupa Global is a forward-thinking organization that partners with Royal Voluntary Service (RVS), a prominent UK charity known for managing one of the largest volunteer networks in the country. RVS is dedicated to delivering essential services in healthcare, homelessness, and food security. As RVS embarks on a significant digital transformation, Kupa Global is playing a pivotal role by establishing a tech team in South Africa for the first time in RVS's 80-year history. This initiative aims to enhance the capabilities of volunteers and improve service delivery through innovative technology solutions.
Share This Job!
Save This Job!
Kupa Global is a forward-thinking organization that partners with Royal Voluntary Service (RVS), a prominent UK charity known for managing one of the largest volunteer networks in the country. RVS is dedicated to delivering essential services in healthcare, homelessness, and food security. As RVS embarks on a significant digital transformation, Kupa Global is playing a pivotal role by establishing a tech team in South Africa for the first time in RVS's 80-year history. This initiative aims to enhance the capabilities of volunteers and improve service delivery through innovative technology solutions.
Share This Job!
Save This Job!
HashiCorp
HashiCorp
Join HashiCorp as a Mid-Level Data Engineer to develop and maintain scalable data solutions and improve data accessibility.
Join our team as a Mid-Level Data Engineer to optimize data pipelines in AWS for product analytics.
Join Enode as a Mid-Level Engineer to enhance their API and backend systems in a remote-first environment.
L.T
Lean Tech
Join Lean Tech as a Mid+ Data Engineer to develop data pipelines and visualizations while collaborating with teams across Latin America and the USA.
L.T
Lean Tech
Join Lean Tech as a Mid+ Data Engineer to build scalable data solutions and support advanced analytics initiatives.