We’re looking for a (normal-size) data engineer to help us build and maintain our suite of country-scale logistics and program intelligence systems for distributed, occasionally-connected contexts. Our ideal data engineer will be an experienced cross-functional collaborator and able to contribute to:
Data analysis environments – At Field, data drives all aspects of business, and your role will be to design and build the tools to ensure data science, management and engineering all have the tools and services they need to consume and manage it.
Data infrastructure – Working our data science and engineering team, your job will include architecting, optimizing and expanding our data warehousing, analysis and pipeline architecture.
Data driven products – As part of a multi-disciplinary team you will help investigate internal data consumers’ needs and design solutions to provide flexible, transparent, reliable tools and environments for data management and analysis.
Data wrangling and investigative analysis – Our ideal candidate will be comfortable diving into operational data to identify discrepancies, and be able to connect them to infrastructural or real-world operational root causes.
You will work closely with other engineers and product teams in Berlin and Nigeria, supporting each other and collaborating through frequent architecture and code reviews and strong adherence to best practices, as we develop tools to shape health supply chains at scale in some of the fastest growing places in the world.
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