Consultancy - Data Engineering

at  UNICEF

Job no: 576854
Contract type: Consultant
Duty Station: Florence
Level: Consultancy
Location: Italy
Categories: Research, Planning, Monitoring and Evaluation
UNICEF works in some of the world’s toughest places, to reach the world’s most disadvantaged children. To save their lives. To defend their rights. To help them fulfill their potential.
Across 190 countries and territories, we work for every child, everywhere, every day, to build a better world for everyone.
And we never give up.

EDUCATION:

• Master’s Degree
• Disciplines: CompSci, Software Engineering, Data Science, Mathematics, Physics or a related field.

WORK EXPERIENCE:

• 5 years of experience working with data and analytics tools;

KNOWLEDGE/EXPERTISE/SKILLS REQUIRED *:

• Proven experience in implementing ETL pipelines over heterogenous data using Python, R and SQL;
• Experience discovering and harmonizing development data using scripted approaches for access with both file-based and API methods;
• Experience using cloud-based analytics platforms and data and spatial data processing tools, e.g. Data Bricks, ArcGIS Desktop);
• Experience using data science packages, e.g., Pandas, Numpy;
• Experience with UNICEF domain data is an asset;
• Fluent in spoken and written English. Additional official UN working languages are a plus, especially Spanish.

REQUIREMENTS:

Completed profile in UNICEF’s e-Recruitment system and

• Upload copy of academic credentials

• Financial proposal that will include/ reflect :

• • the costs per each deliverable and the total lump-sum for the whole assignment (in US$) to undertake the terms of reference.
• travel costs and daily subsistence allowance, if internationally recruited or travel is required as per TOR.
• Any other estimated costs: visa, health insurance, and living costs as applicable.
• Indicate your availability
• Any emergent / unforeseen duty travel and related expenses will be covered by UNICEF.
• At the time the contract is awarded, the selected candidate must have in place current health insurance coverage.
• Payment of professional fees will be based on submission of agreed satisfactory deliverables. UNICEF reserves the right to withhold payment in case the deliverables submitted are not up to the required standard or in case of delays in submitting the deliverables on the part of the consultant.

UNICEF requires the services of an external consultant to support the development and maintenance of spatial and other data discovery, harmonization, validation, curation and analytics in several areas, especially the Wash Insecurity Analysis (WIA), and also including Children in Conflict (CIC) and Children’s Climate and Disaster Risk Model (CCDRM), deployed to multiple platforms including GeoSight and its Indicator Data Warehouse.
All work performed shall create maintainable, automated processes over the data lifecycle, also accommodating the addition of new streams of data as and when they become available.
The WIA work shall be performed iteratively in coordination with the Global WASH Cluster (GWC), PG-WASH and Joint Monitoring Programme (JMP) team, beginning with the current set of 2024 focus countries, delivering on the 2025 set of focus countries as they are determined. Working with the GWC, PG-WASH and JMP team and a regular part of virtual and physical team meetings, the consultant will also work to identify novel frontier data technology approaches as an innovation workstream.
The consultancy shall also assist in further testing, validation, and refinement of spatial data assets and indicator data in GeoRepo and the Indicator Data Warehouse, development and production launch of a new dynamic CIC data pipeline and dashboard, continue to support the data management needs of CCDRM with respect to the Indicator Data Warehouse, and assist the Data and Analytics section in further automating its data lifecycle.
Finally, the consultancy will support the Frontier Data Network as it continues to enable new data and technology capabilities at Frontier Data Nodes and with other UNICEF data science teams including leveraging big data assets with spatial analytics, machine learning, and other AI approaches.