Data Engineer

The incumbent will be responsible for the following duties but not limited to:

1. Understanding the data workflow of the data science team and developing data pipelines to access datasets typically used.

2. Understanding, leveraging and contributing to the existing data pipeline architecture use by the HDX team.

3. Designing new analytical tools and libraries to be used for humanitarian action.

4. Maintaining existing software packages and ensuring consistency in the analytical tools used by the Centre.

5. Assessing the tech stack needs of the data science team, proposing solutions, and implementing them.

6. Work with the other teams at the Centre to ensure coherence in the adoption of technology across workstreams. 

a. Education 

• An advanced university degree in mathematics, physics, engineering, computer science, statistics,  economics or a related field is required.

• Bachelor’s degree with additional two years of experience may be accepted in lieu of an advanced  university degree. 

b. Work Experience 
Required:

• Five years of programming experience in areas like data transformation, pipelines, processing and/or analytics is required.

• Five years of programming experience in Python/R and their relevant libraries (e.g. Pandas, dplyr) is required.

• Exceptional communication skills, in order to explain your work to non technical colleagues who may not be familiar with data engineering.

• An understanding of developer tools such as Git are required. 

• Experience in understanding partner needs and requirements. 

• Skills in data visualisation and geospatial analytics and relevant libraries and standards (e.g. rasterio, proj4).

• Knowledge or experience in the humanitarian or development sectors.

• Experience with climate data and climate modelling.

c. Language

• Fluency in English (read, write, speak) is required.

• Knowledge of any of the other UN official languages is an advantage.