A4P+ Associate Data Engineer

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UN DPO - Department of Peace Operations

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Application deadline 1 year ago: Wednesday 14 Sep 2022 at 23:59 UTC

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Result of Service Support to the A4P+ Expert on Data Engineering and Machine Learning to deliver the data model for an improved A4P+ platform. The A4P+ Expert on Data Engineering and Machine Learning supports the delivery of the expanded and optimized data pipeline architecture and the improved data flow in support of organization requirements. The Associate Data Engineer supports compliance with data governance, protection and security needs.

Work Location New York / Remote

Expected duration Six months with possibility of extension.

Duties and Responsibilities The Secretary-General launched Action for Peacekeeping on 28 May 2018 and its Declaration of Shared Commitments, endorsed by 154 Member States, remains a roadmap for our collective efforts to strengthen peacekeeping. Three years on, the moment arrived to take stock, closely assess achievements, challenges, gaps and accordingly, determine what key priorities need to be addressed in the coming years. On 29 March 2021, the Secretary-General introduced Action for Peacekeeping + (A4P+), a set of seven discrete priorities designed to accelerate the ability of the UN Secretariat to fulfill its commitments within the Declaration. Complementing the SG's Data Strategy, A4P+ calls for UN Peacekeeping to accelerate our move toward "innovative, data-driven and tech-enabled peacekeeping." As UN Peacekeeping implements A4P+, continuing to measure, verify and report on progress and the impact of efforts to strengthen peacekeeping effectiveness remains critical.

Building on the notable progress evaluating the performance of UN peacekeeping, the Office of the Under-Secretary-General for Peace Operations has developed a new platform and monitoring framework to systematically monitor, evaluate and report on peacekeeping performance, as outlined in the A4P+ framework, using quantitative and qualitative data. It builds off of and connects to existing tools, including the Situational Awareness Capabilities (Unite Aware) and the Comprehensive Planning and Performance Assessment System (CPAS).

The A4P+ Associate Data Engineer will support the work of the A4P+ Expert on Data Engineering and Machine Learning in ensuring effective data and platform management to enable and improve regular monitoring, analysis and reporting of the results of Action for Peacekeeping +. This includes assisting the building, managing and optimizing data pipelines and the existing architecture for A4P+ reporting to support the production of analytics, in compliance with data governance, protection, privacy and security requirements. The A4P+ Associate Data Engineer will support the A4P+ Expert on Data Engineering and Machine Learning to update the A4P+ reporting tool in line with the examination of requirements for future reporting cycles. The Associate Data Engineer will support the roll-out of capacity building initiatives to enable proper engagement with and utilization of the A4P+ reporting platform.

Qualifications/special skills Academic Qualifications: 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 qualifying experience may be accepted in lieu of the advanced university degree.

Experience: - A minimum of two to three years of experience in data management, integration, modeling, optimization and other relevant areas. - Experience supporting cross-functional teams and collaborating with stakeholders in support of analytics initiatives is required. - Experience in programming languages such as Python or R is required. - Experience with database programming languages (SQL, etc.) is required. - Experience in designing data integration and pipeline architectures which must include ingesting data through different methods such as message queues, database connections, flat files, REST, or specific API’s, is required. - Experience in DevOps tool chains consisting of tools like Git, Jenkins or Bamboo – or equivalent tools - and experience with the deployment of data pipelines is required. - Experience in delivering big data use cases is desirable, including projects using technology such as Apache Spark, Hadoop or others. -- Experience in Artificial Intelligence, particularly Machine Learning techniques for data mining and extraction of large amounts of data is desirable. In this context, familiarity with concepts of bias and fairness (i.e., how to identify, assess, and minimize harmful biases, discrimination, and unfair outcomes in algorithmic systems and data) is particularly desirable. -- Experience working with self-service analytics applications like Microsoft PowerBI, Tableau, Qlik and others for data discovery is desirable.

Language: English and French are the working languages of the United Nations Secretariat. For the post advertised, fluency in English is required. Knowledge of any of the other UN official languages is desirable.

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

- Candidates should list all work experience and diplomas in the relevant part of the application. Work experience and diplomas only mentioned in the cover letter will not be considered for screening purposes. Statements must include concrete start and end dates, detailed description of tasks and achievements and whether the experience was obtained in full-time or part-time. Candidates should note that eligibility and fees will be decided based on their submitted application only. There is no option to revise an application after submission.

No Fee THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.

Added 1 year ago - Updated 1 year ago - Source: careers.un.org