Data Engineer, DPS/ITS

Overview

Develop and manage data pipelines and architecture for analytics.

You have:

• 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 the above subject areas in combination with an additional two years of qualifying experience may be accepted in lieu of the advanced university degree.
• A minimum of five 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 C#, Python and JavaScript is required.
• Experience with database programming languages (SQL, etc.) is required.
• Experience in designing data integration and pipeline architectures which must include ingesting and deploying data through different methods such as message queues, database connections, flat files, REST, or specific APIs 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, including projects using technology such as Apache Spark, Hadoop, SQL Server or others is desirable.
• Experience in Artificial Intelligence, particularly Machine Learning techniques for data mining and extraction of large amounts of data.
• Fluency in English is required.
• Knowledge of another official United Nations language is an advantage.

Contract

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.

Salary

The salary for this job should be between 142,356 USD and 186,404 USD.

Please keep in mind that the salary displayed here is an estimation by UN Talent based on the location and the type of contract. It may vary depending on the organization. The recruiter should be able to inform you about the exact salary range. In case the job description contains another salary information, please refer to this one.

Org. Setting and Reporting The position is located in the Division of Programme Support (DPS) and the Information Systems and Development Unit which is responsible for the development of new information applications and systems and seeks to provide proactive services to client departments of the ITC in order to meet their IT development needs. The primary focus of this position is to facilitate comprehensive data management initiatives within the context of IT system developments. This encompasses the construction, administration, and optimization of data pipelines and architectural frameworks to bolster analytics production, in compliance with data governance, protection, privacy and security requirements.

Responsibilities Under the direct supervision of Manager, Information & Development and the general guidance of Chief, Information Technology & Systems the incumbent will be responsible for the following duties:

• Manage individual projects regarding the optimal extraction, transformation, and loading of data from a wide variety of sources into data pipelines, as well as the creation and maintenance of data catalogues
• Design and implement Application Programming Interfaces (APIs) to facilitate software development activities, in compliance with established software development guidelines. Design and develop solutions for data-related technical problems and data infrastructure needs surfaced by Executive, Analytics and Design and Development teams
• Manage the identification, design, and implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing architecture for greater scalability
• Deploy resources to extract data features from complex datasets for data scientists and data analysts

• Manage the implementation of 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. Excellent problem solving and troubleshooting skills. 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.

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.

Education 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 the above subject areas in combination with an additional two years of qualifying experience may be accepted in lieu of the advanced university degree.

Work Experience A minimum of five 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 C#, Python and JavaScript is required.

Experience with database programming languages (SQL, etc.) is required.

Experience in designing data integration and pipeline architectures which must include ingesting and deploying 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, including projects using technology such as Apache Spark, Hadoop, SQL Server or others is desirable.

Experience in Artificial Intelligence, particularly Machine Learning techniques for data mining and extraction of large amounts of data. 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 is desirable.

Experience working with self-service analytics applications like Microsoft PowerBI, Tableau, Qlik and others for data discovery is desirable.

Languages For the position advertised, fluency in English is required. Knowledge of another official United Nations language is an advantage.

Assessment Evaluation of qualified candidates may include an assessment exercise which will be followed by competency-based interview.

Special Notice The conditions of service are governed by the United Nations Staff Rules and Regulations. This is a fixed term appointment for an initial period of one (1) year. 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. Applications from women and nationalities from developing and least developing countries are particularly encouraged to apply. Applicants will be contacted only if they are under serious consideration. For information on salary and entitlements, please consult the International Civil Service Commission website: http://icsc.un.org

United Nations Considerations In 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 Fee ITC 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.

Potential interview questions