Posted on September 6th, 2021 | Last day left to apply | 108 views
Reports to: Head - Business Intelligence
Length of assignment: Full Time
Suggested start date: Immediately
Learn about Farmerline
Do you want to improve millions of lives and leave a lasting legacy at the same time? Do you want to use your talents and skills to make a difference and not just a living? Do you want to help feed the world now and in the future? Farmerline works to reinvent how the world thinks and invests in the lives of small-scale farmers. We are working to help farmers produce and sell food. We are bold and systemic thinkers but operate lean and nimble.
Since 2013, Farmerline has directly helped farmers to improve their productivity and profit in Ghana and also provided technical support to other organizations to do the same. Farmerline started its operations serving 800 farmers in the Ashanti Region of Ghana with information via mobile information services. We have supported many organizations with our tools and knowledge to improve the way they work with farmers. Over the past 7 years, Farmerline and its partnership network has profiled and served over 500,000 farmers and digitized over 1,000,000 acres of farmland across 16 countries in Africa.
Farmerline is a learning organization and you will have the chance to apply your ideas and creativity to solve problems every day. If you work well in a dynamic collaborative culture, set high standards, and meet challenges with determination and a sense of humour, you’ll thrive at Farmerline.
As part of business growth and expansion, Farmerline is looking for a Data Engineer to join our growing team of data experts. The hire will be responsible for expanding and optimizing our databases and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
The Data Engineer will support our Software Developers, BI Analysts and Data Scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout the organization and its ongoing. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.