Expedited SVN: Associate Data Engineer (P)

Under the overall supervision of the Global Displacement Tracking Matrix (DTM) Coordinator and the direct supervision of the Senior DTM Coordination Officer, the Associate Data Engineer will be responsible and accountable for supporting analysis of disaggregated data sets by sex, age, and nationality as per donor need.

RESPONSIBILITIES 1.Provide assistance to the development of data integration, visualization, and analysis employing the most relevant statistical software, working closely with DTM Global and the DTM field team on technical systems (including the centralized code repository, data collection, sharing, and integration) for the purpose of obtaining relevant datasets that may be used by at least three African countries.

2. Contribute to the collection, sharing, and analysis of quantitative and qualitative migration data through DTM data, censuses, household surveys, and administrative data sources.

3. In collaboration with DTM Global and the IOM Migration Data Lab, support the development and implementation of a data coherence and accessibility framework. Make sure that datasets are standardized and interoperable for IOM-wide analytics and that data science products contribute to capacity building across Regional Offices (ROs). Coordinate with DTM Global and DTM field teams in at least three African countries on technical requirements to collect, analyze, and responsibly use sex- and gender-disaggregated migration data from both traditional and non-traditional sources, including an emphasis on how to utilize administrative sources.

4. In coordination with relevant stakeholders like the Expert Group on Refugee, Internally Displaced Persons (IDPs) and Statelessness Statistics (EGRISS), the Data for Solutions to Internal Displacement (DSID) group for the Secretary General's Action Agenda for Internal Displacement, United Nations (UN) agencies, and regional bodies, help initiate and drive efforts to mainstream disaggregated sex and age data into gender-responsive government plans and programmes. This may include assessment of Statistical Analysis Packages (example: https://www.washingtongroup-disability.com/analysis/analysis-overview/).

5. Support with the preparation of project reports for the donor and with the organization of launch events for DTM publications, as necessary.

6. Perform such other relevant duties as may be assigned., * Integrity and transparency : Maintains high ethical standards and acts in a manner consistent with organizational principles/rules and standards of conduct.

• Professionalism : Demonstrates ability to work in a composed, competent and committed manner and exercises careful judgment in meeting day-to-day challenges.
• Courage : Demonstrates willingness to take a stand on issues of importance.
• Empathy : Shows compassion for others, makes people feel safe, respected and fairly treated.

Core Competencies - behavioural indicators Level 2

• Teamwork : Develops and promotes effective collaboration within and across units to achieve shared goals and optimize results.
• Delivering results : Produces and delivers quality results in a service-oriented and timely manner. Is action oriented and committed to achieving agreed outcomes.
• Managing and sharing knowledge : Continuously seeks to learn, share knowledge and innovate.
• Accountability : Takes ownership for achieving the Organization's priorities and assumes responsibility for own actions and delegated work.
• Communication : Encourages and contributes to clear and open communication. Explains complex matters in an informative, inspiring and motivational way.

• Master's degree in Computer Science, Statistics, Applied Mathematics, Data Management, Information Systems, Information Science, or a related field from an accredited academic institution with two years of relevant professional experience; or,
• University degree in the above fields with four years of relevant professional experience.

Accredited Universities are those listed in the UNESCO World Higher Education Database.

Experience

• Advanced experience in Python for data engineering tasks (Extract, Transform, Load (ETL) pipelines, data transformation, automation) is mandatory for this position;
• Experience with Microsoft Azure cloud services (Azure Data Factory, Azure Blob Storage, Azure Structured Query Language (SQL) Database) is required;
• Experience with Microsoft Fabric or equivalent cloud data Lakehouse platforms, including familiarity with medallion architecture (bronze/silver/gold layers) for data organization and quality management, is required;
• Experience in providing data and analytical support related to disaggregated data. Experience with Representational State Transfer Application Programming Interface (REST- API) development and API management platforms (e.g., Microsoft Azure API Management) is an advantage;
• Experience in designing data integration and pipeline architectures, bringing in data from various sources, such as message queues, databases, or specific APIs, is required;
• Experience in database programming languages (SQL, etc.), including hands-on experience with relational databases such as MySQL or Microsoft SQL Server; familiarity with cloud database migration projects is an advantage;
• Experience working with self-service analytics applications like Microsoft PowerBI, Tableau, and others for data discovery is required; and,Experience in delivering big data use cases, including projects using technology such as Apache Spark, or others, is desirable. Experience with Apache Spark within Microsoft Fabric or Azure Synapse Analytics is particularly advantageous.

Skills

• Demonstrated knowledge of data engineering and data integration systems required;
• Background in data management, integration, modeling, optimization, and other relevant areas is required; and,Familiarity with the Microsoft data ecosystem-including Azure Data Factory, Microsoft Fabric (Lakehouse, Data Pipelines, Spark Notebooks), and Power BI-is required; experience working within a medallion architecture (bronze, silver, gold layers) is strongly preferred.

Languages

For this position, fluency in English is required (oral and written).

Working knowledge of French and/or Spanish is an advantage.

Proficiency of language(s) required will be specifically evaluated during the selection process, which may include written and/or oral assessments.

Required Competencies

IOM's competency framework can be found at this link . Competencies will be assessed during the selection process.

Established in 1951, IOM is a Related Organization of the United Nations and the leading UN agency in the field of migration. Working closely with governmental, intergovernmental and non-governmental partners, IOM promotes humane and orderly migration for the benefit of all. It saves lives and protects people on the move, drives solutions to displacement, and facilitates pathways for regular migration, while providing services and advice to governments and migrants. IOM is committed to fostering a respectful, inclusive and supportive workplace where all employees can thrive professionally and feel valued. By creating such an environment, IOM aims to better harness the full potential of migration and strengthen its support to people on the move. IOM invites candidates from diverse backgrounds to apply and provides reasonable accommodation throughout the recruitment process when required. Learn more about IOM's workplace culture at IOM workplace culture | International Organization for Migration This is an expedited recruitment process, open for applications from internal and internal-equivalent candidates only. Organizational Context and Scope In a complex and uncertain world, the useful application of data for evidence-based policy and action is needed now more than ever. Whether it be helping displaced people find durable solutions in the face of climate change impacts, or analysis that allows better foresight for migration scenarios and preparedness-managing human mobility to contribute to sustainable development requires a data- driven approach. The International Organization for Migration (IOM) has an abundance of information about human mobility. With offices in almost every country, IOM is trusted by its Member States for its deep knowledge and field expertise. IOM has strategic partnerships with other United Nations (UN) agencies and stakeholders in the United Nations (UN) Migration Network. It works directly with a wide range of beneficiaries and is at the forefront of data protection efforts within the UN system., IOM has a zero-tolerance policy on conduct that is incompatible with the aims and objectives of the United Nations and IOM, including sexual exploitation and abuse, harassment, sexual harassment, abuse of authority and any forms of discrimination. IOM is committed to promote the protection and safeguarding of all children. IOM conducts reference checks and background verification, including through system wide databases such as ClearCheck, to help ensure that candidates have no record of misconduct, including on sexual harassment, sexual exploitation and abuse, or fraud. Candidates are expected to uphold these standards and principles at all times. IOM does not charge any fees at any stage of the recruitment process-whether for application, interview, processing, training, or otherwise-and does not request any information related to bank accounts.