[UNJSPF OIM] Data Engineer (Two Positions)

Description

Data Engineer (Two Positions) Organization: UNJSPF OIM - United Nations Joint Staff Pension Fund – Office of Investment Management Location: New York, United States of America Level: Mid, Senior Grade: P-3 Sector: Communications & PR, Information Management Posted: 2026-10-12 Application deadline: 2026-10-26 Contract (as described by UN Talent): This is a P-3 contract. This kind of contract is known as Professional and Director staff. It is normally internationally recruited only. It's a staff contract. It usually requires 5 years of experience, depending on education. Original source: careers.un.org Org. Setting and Reporting The United Nations Secretary-General is responsible for the investment of the assets of the United Nations Joint Staff Pension Fund (UNJSPF). The Secretary-General has delegated this responsibility to the Representative of the Secretary-General for the investment of the assets of the UNJSPF (RSG). The RSG heads the Office of Investment Management (OIM), which manages a $100+ billion multi-asset class, global investment portfolio, about 85% of which is actively managed in-house. Asset classes under management comprise global equities, fixed income, foreign exchange, private equity, real estate, infrastructure, timber and commodities. OIM’s staff are all based in New York but come from over 40 countries. For more information, please visit OIM's website at https://oim.unjspf.org/. These positions are located in the Business Intelligence Team, Data and AI Unit. The incumbents work under the technical direction of the Data Engineer (P-4) and reports to the Chief of Data until the P-4 is onboarded. This team leads OIM's data strategy, enterprise data platform and lakehouse, analytics infrastructure, reporting capabilities, and data governance frameworks to support investment and risk management decision-making. Responsibilities Within delegated authority, the Data Engineers may be responsible for the following duties: • Design and develop solutions for data-related technical problems and data infrastructure needs identified in partnership with business, investment, risk, analytics and technology stakeholders. • Build, test, deploy, operate and improve production data pipelines and platform components that integrate structured and unstructured data from multiple sources into the enterprise data platform and lakehouse. • Develop data management tools for analytics, quantitative and data science teams to better build and optimize data products. • Apply software development lifecycle and DevOps practices, including version control, code review, automated testing, continuous integration and deployment, monitoring, incident response and root-cause analysis, to deliver reliable and maintainable data products. • Develop and implement changes to data systems to ensure compliance with data governance, protection, privacy, and security requirements, in collaboration with key stakeholders. • Create and maintain clear technical and business documentation alongside the code, including requirements, data models, data contracts, lineage, metadata, testing evidence, operating procedures and decision records, so that data products can be understood, governed, maintained and extended. • Use AI-assisted engineering tools and specialized agents, where appropriate, to accelerate and standardize activities across the data product lifecycle, while applying appropriate human review, testing, security and governance controls to ensure reliable delivery. • Performs other assigned duties. Competencies • Professionalism: Knowledge of the data engineering lifecycle from source integration and transformation through production delivery and consumption. Strong analytical skills related to working with structured and unstructured datasets. Excellent problem-solving and troubleshooting skills. Ability to test and quality-check own work before release. Process oriented, with strong documentation skills. Ability to explain technical work and progress to clients in a relatable manner. Understands the impact of enabling 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 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 the team agenda before the personal agenda; supports and acts in accordance

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Source

Source: untalent.org