Job Summary

IOM, UN Migration Agency in Berlin, Germany is looking for a Associate Data Engineer who will be responsible and accountable for supporting analysis of disaggregated data sets by sex, age, and nationality as per donor need.

Key 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.

Required Qualifications

Required Qualifications and Experience

Education

• 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.

Values – all IOM staff members must abide by and demonstrate these five values:

• Inclusion and respect for diversity: Respects and promotes individual and cultural differences. Encourages diversity and inclusion.
• 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.

Notes

This vacancy is only open to current and former IOM staff members who were separated in the last 12 months due to the structural adjustment process.

Internationally recruited professional staff are required to be mobile. Please refer to this link for guidance on IOM Job Category. Any offer made to the candidate in relation to this vacancy notice is subject to funding confirmation. This selection process may be used to staff similar positions in various duty stations. Recommended candidates will remain eligible to be appointed in a similar position for a period of 24 months.

Appointment will be subject to all clearances, including medical and security as well as accreditation, any residency or visa requirements. Vacancies close at 23:59 local time Geneva, Switzerland on the respective closing date. No late applications will be accepted.

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.

IOM only accepts duly completed applications submitted through the IOM WAVE system (for internal candidates link here). The online tool also allows candidates to track the status of their application. Only shortlisted candidates will be contacted. For further information and other job postings, you are welcome to visit our website: IOM Careers and Job Vacancies