Data Engineer, NO-C

THIS POSITION IS OPEN TO KENYA NATIONALS ONLY AND DOES NOT HAVE INTERNATIONAL BENEFITS

FEMALE CANDIDATES ARE PARTICULARLY ENCOURAGED TO APPLY

(READVERTISEMENT)

DEADLINE FOR APPLICATIONS : 05 MARCH 2022

DATE OF ISSUANCE : 04 FEBRUARY 2022

FUNCTIONAL TITLE : DATA ENGINEER

LEVEL : NO-C

SECTION : SCM – PERFORMANCE MANAGEMENT SECTION

LOCATION : NAIROBI

DURATION OF CONTRACT : ONE (01) YEAR FIXED-TERM APPOINTMENT

VACANCY ANNOUNCEMENT NUMBER : UNSOS/DATA/007/2022

Special Notice:

This position is funded for an initial period of one year, extension of appointment will be subject to budgetary approval. A staff member subject to local recruitment shall not be eligible for the allowances or benefits exclusively applicable to international recruitment. The candidate is responsible for any travel expenses incurred in order to take-up the appointment. All applicants are strongly encouraged to apply on-line as soon as possible after the job opening has been posted and well before the deadline stated in the job opening.

Interested applicants who are working with UN Contractors must fulfil the obligations of their contracts with the UN Contractors in order to be eligible to apply for this vacancy.

The United Nations Secretariat is committed to achieving 50/50 gender balance in its staff. Female candidates are strongly encouraged to apply for this position.

Organizational setting and reporting relationships:

The position is located in the United Nations Support Office in Somalia (UNSOS) within the Performance Management Section. The incumbent will be based in Nairobi and reports to the Chief, Performance Management Section.

Key Duties and Responsibilities:

Within delegated authority, the Data Engineer will be responsible for the following duties:

· Manage individual projects regarding the optimal extraction, transformation, and loading of data from a wide variety of sources into data pipelines, as well as the creation and maintenance of data catalogues.

· Design and develop solutions for data-related technical problems and data infrastructure needs surfaced by Executive, Analytics and Design teams, create data models that can be used by different stakeholders at different levels.

· Manage the identification, design, and implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing architecture for greater scalability.

· Deploy resources to extract data features from complex datasets for data scientists and data analysts.

· Manage the implementation of changes to data systems to ensure compliance with data governance, protection, privacy, and security requirements.

Competencies:

Professionalism: Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work.

Creativity: Actively seeks to improve programmes or services; offers new and different options to solve problems

or meet client needs; promotes and persuades others to consider new ideas; takes calculated risks on new and unusual ideas; thinks “outside the box”; takes an interest in new ideas and new ways of doing things; is not bound by current thinking or traditional approaches.

Commitment to Continuous Learning: Keeps abreast of new developments in own occupation/profession; actively seeks to develop oneself professionally and personally; contributes to the learning of colleagues and subordinates; shows willingness to learn from others; seeks feedback to learn and improve.

Qualification and Experience:

Education: Advanced university degree (Master’s degree or equivalent) in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field. A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.

Experience: A minimum of five (05) years of progressively responsible experience in any of the following areas: computer programming, data science or machine learning.

Experience in data management, data integration, data modelling, data optimization and other relevant areas is required.

Experience in designing data integration and pipeline architectures, which must include ingesting data through different methods such as message queues, database query languages (SQL, etc.), flat files, REST, or specific APIs, is required.

Experience working with self-service analytics applications like Microsoft PowerBI, Tableau, Qlik and others for data discovery is desirable.

Experience supporting cross-functional teams and collaborating with stakeholders in support of data analytics initiatives is desirable.

Experience in programming languages such as Python or R is desirable.

Experience with cloud services such as Microsoft Azure or Amazon AWS is desirable.

Language: English and French are the working languages of the United Nations Secretariat. For this position, fluency in English (both oral and written) is required.

Assessment Method: Evaluation of qualified candidates for this position may include a substantive assessment which will be followed by a competency-based interview.