Org. Setting and ReportingThe position is located in the Information Systems and Development Unit that is responsible for the development of corporate technical solutions and systems and seeks to provide proactive services to client departments of the International Trade Centre (ITC) in order to meet their IT development needs. The focus of this position is to assist in the implementation of effective data management tools. This includes assisting the building, management and optimization of data pipelines and architectures to support the production of analytics and development of systems in compliance with data governance, protection, privacy, and security requirements. ResponsibilitiesUnder the direct supervision of the Programme Officer (Data Management) and the general guidance of the Chief, Information Technology and Systems, the Associate Data Engineer will be responsible for the following duties: • Identify needs for dataset assembly across organization and collaborate with stakeholders to gather and process data • Implement solutions to data-related technical problems and data infrastructure updates • Design internal process improvements: automating manual processes, optimizing data delivery, re-designing architecture for greater scalability • Extract data features from complex datasets and produce reports, dashboards and data visualizations. • Work with contractors to clarify requirements, validate delivery and integrate solutions • Develop and implement changes to data systems to ensure compliance with data governance, protection, privacy, and security requirements. Competencies• Professionalism: Knowledge of data analysis life cycle from ingest and wrangling to analysis and visualization to present findings. Knowledge of best practices and IT operations in an always-up, always-available service. Knowledge of Agile Software Development methodologies. Strong analytic skills related to working with unstructured datasets. Ability in managing and communicating data warehouse plans to internal clients. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Process oriented with great documentation skills. Ability to convey complex / difficult data science topics to clients in a relatable manner. Takes pride in the work for the organization and understands the impact that can be brought into the organization by allowing data-driven and evidence-based decisions. Ability to apply judgment in the context of assignments given, plan own work and manage conflicting priorities. 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. • Teamwork: Works collaboratively with colleagues to achieve organizational goals; solicits input by genuinely valuing others’ ideas and expertise; is willing to learn from others; places team agenda before personal agenda; supports and acts in accordance with final group decision, even when such decisions may not entirely reflect own position; shares credit for team accomplishments and accepts joint responsibility for team shortcomings. • 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. • Technological Awareness: Keeps abreast of available technology; understands applicability and limitation of technology to the work of the office; actively seeks to apply technology to appropriate tasks; shows willingness to learn new technology. EducationAdvanced 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 four years of experience may be accepted in lieu of the advanced university degree. Job - Specific QualificationNot available. Work ExperienceA minimum of two years of experience in data management, integration, modeling, optimization and other relevant areas is required. Experience supporting cross-functional teams and collaborating with stakeholders in support of analytics initiatives is required. Experience in programming languages such as Python, JavaScript is required. Experience managing various databases (Relational, NoSQL, Vector, Graph, 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, Azure DevOps – or equivalent tools - and experience with the deployment of data pipelines is required. Experience in delivering big data use cases, including projects using technology such as Kubernetes, Docker, Apache Spark, or others is desirable. Experience in Artificial Intelligence, with a strong focus on generative AI technologies and large language models for data processing, transformation, and analysis at scale. Knowledge of prompt engineering, embeddings, and vector databases for efficient data retrieval and processing is desirable. Experience working with self-service analytics applications like Microsoft PowerBI, Tableau, Apache Superset and others for data discovery is desirable. LanguagesFor the position advertised, fluency in English is required. AssessmentAssessment will be undertaken through a comparative analysis of the applications. The assessment may also include a competency-based interview and/or other appropriate evaluation mechanisms. Special NoticeThe conditions of service are governed by the United Nations Staff Rules and Regulations. This is a temporary appointment for an initial 09 months and may be subject to extension. Applications from women and nationalities from developing and least developing countries are particularly encouraged. ITC champions workforce diversity, inclusion, gender equality and gender parity and considers all qualified persons - of all genders - equally, including those with disabilities, without discrimination or prejudice of any kind. ITC also offers attractive flexible work arrangements to help promote a healthy work/life balance and to allow all staff members to express and develop their talents fully. If you are unable to complete our online application form due to a disability, please send an email to hrs-jobs@intracen.org. Given the nature of the temporary opportunity, priority consideration may be given to candidates already located at the duty station. Applicants will be contacted only if they are under serious consideration. ITC Internal staff on fixed-term, continuing or permanent appointment, if selected, may be entitled to Special Post Allowance as per Staff Rule 3.10. For information on salary and entitlements, please consult the International Civil Service Commission website: http://icsc.un.org United Nations ConsiderationsIn accordance with the United Nations Staff Regulations and Rules, the paramount consideration in the employment of the staff is the necessity of securing the highest standards of efficiency, competence, and integrity. Candidates will not be considered for employment with ITC if they have committed violations of international human rights law, violations of international humanitarian law, sexual exploitation, sexual abuse, or sexual harassment, or if there are reasonable grounds to believe that they have been involved in the commission of any of these acts. Candidates who have committed crimes other than minor traffic offences may not be considered for employment. Applicants are urged to carefully follow all instructions available in the online recruitment platform, Inspira. For more detailed guidance, applicants may refer to the Manual for the Applicant, which can be accessed by clicking on \"Manuals\" hyper-link on the upper right side of the Inspira account-holder homepage. The evaluation of applicants will be conducted based on the information submitted in the application according to the evaluation criteria of the job opening and the applicable Staff Regulations and Rules, administrative issuances, and guidelines. Applicants must provide complete and accurate information pertaining to their personal profile and qualifications according to the instructions provided in Inspira to be considered for the current job opening. No amendment, addition, deletion, revision, or modification shall be made to applications that have been submitted. Candidates under serious consideration for selection will be subject to reference checks to verify the information provided in the application. Job openings advertised in Inspira will be removed at 11:59 p.m. (New York time) on the deadline date. No FeeITC does NOT charge any fees or request money from candidates at any stage of the recruitment process, nor does it concern itself with bank account details of applicants. Requests of this nature allegedly made on behalf of ITC are fraudulent and should be disregarded.