Databases Expert

Vacancy Notice 1340

INTERPOL is the world’s largest international police organization, with 196 Member Countries. Created in 1923, it facilitates cross-border police co-operation, and supports and assists all organizations, authorities, and services whose mission is to prevent or combat international crime.

INTERPOL strives to achieve a diverse and inclusive workforce and welcomes applications from individuals with diverse backgrounds, experiences, and perspectives. To achieve our Diversity goals, we encourage applications from women and nationals of under/unrepresented member countries who are passionate about our mission. INTERPOL’s recruitment process is merit-based hence all hiring decisions are made considering the applicant’s qualifications and the needs of the Organization.

Job Title: Databases Expert
Reporting To: Head of Department, AI and Data Pltaform Competecny Center
Location: Lyon
Type of contract: Fixed-term Contract
Duration (in months): 36.00*
Grade: 4
Number of post: 1
Level of Security screening: Enhanced
Deadline for application: 30 July 2026

Conditions applying for all candidates

Only professional experience for which candidates can provide official proof of employment will be considered. Candidates could be requested to provide copies of such official documents prior to interviews/test.

* Subsequent extension to this post will be subject to the terms of the Organization’s Staff Manual, to satisfactory performance and to availability of funds.

Tests/interviews in connection to this selection procedure will take place approximately 1/3 weeks after the deadline for applications. Applicants are kindly requested to plan their availability during this period accordingly, in case they are short-listed.

​Selected candidates will be expected to report for duty approximately one to three months after receiving an offer of employment at the latest.

This selection exercise may be used to generate a reserve list of suitable candidates that may be used to address Organization's similar staffing needs in the future.

SUMMARY OF THE ASSIGNED DUTIES, INCLUDING GOALS AND OBJECTIVES OF THE POST

The holder of the post under the responsibility of the Head of the Application Support and Data Management, is responsible for the design, implementation, support, and maintenance of all databases, datalake and ETL infrastructures of the Organization.

In this role, he will drive the innovation within the Data management, by assessing the new technologies and studying opportunities to introduce them within our Infrastructure.

The data concerned are related to Non-Criminal, Criminal and Infrastructure products.

PRINCIPAL DUTIES AND ACTIVITIES/PRINCIPALES MISSIONS ET ACTIVITÉS

DUTY 1: Database management expertise

• Manages the technical lifecycle of the databases used by the Organization.
• Maintains current, knowledge on databases technology and recommends modifications of our standards as necessary.
• Creates and proposes technical design documentation which includes database design models, mapping, and standards.
• Defines operational procedures that will guarantee our SLA and operational requirement.

DUTY 2: Datalake management expertise

• Manages the technical lifecycle of the datalake, any data storage and data manipulation tools used by the Organization.
• Maintains current knowledge of datalake, any data storage and data manipulation tools technologies that the Organization is using or could potentially use and recommends modifications of our standards as necessary.

DUTY 3: Data governance

• Participates to the definition of the data governance rules (data life cycle, data security management, data quality).
• Enforces the data governance rules through tools and operational procedures.
• Organizes the data administration auditing procedures.

DUTY 4: Technical referent

• Provides databases troubleshooting analysis skills (root cause analysis, alarm management, etc.).
• Defines the standard for database performance management, Data processing performance management, Database and Data processing monitoring management.
• Enforces the data processing security requirement defined by the Organization.
• Defines the roadmaps to prevent technological obsolescence and security management of our environments.
• Manages the training of the data team around the DRP management.
• Updates the operational procedures around the data management.

Perform any other duties as required by the supervisor.

QUALIFICATIONS, COMPETENCIES AND SKILLS

Education and qualification required:

• University degree (3 to 4 years) in computer science, Engineering or equivalent field is preferred.
• Internationally recognized certifications in Database field.
• ITIL Certification.

Experience required:

• Minimum of 7 years in IT, including at least 5 years in Database design and operations in a multiple datacenters and mission critical environment.
• Experience in Lakehouse or Datamart design and implementation.

Languages:

• Working knowledge of English is required. Fluency in English is highly desirable.
• Proficiency as second official working language of the Organization (Arabic, French or Spanish) would be an additional asset.

Abilities required:

COMPUTER KNOWLEDGE

• Good overall knowledge of operating systems and networks; accurate knowledge of databases.

GENERAL COMPETENCIES

• High level of human relations skills.
• Organized, methodical, efficient.
• Ability to listen and to co-ordinate.
• Proactivity, ability to suggest database infrastructure improvements and optimizations.
• Efficiency in emergency, critical situations.
• Ability to deal with several issues simultaneously.
• Ability to understand and deal with priorities, in coordination with the ability to understand business rules and therefore business impacts of technical issues.
• Teamwork and reporting
• Integrity and commitment

TECHNICAL COMPETENCIES

• Knowledge about Relational Database Management Systems. Expert level knowledge of at least two of the following: Oracle Database, Microsoft SQL Server, Maria DB/MySQL, PostgreSQL.
• Knowledge of Non-relational DBs like MongoDB and Cassandra
• Knowledge of ETL tools (Talend, Nifi, etc.) and Dataviz tools (Qlik, Tableau, Power BI)
• Advanced knowledge of structured query language (SQL) and Python

• Advanced knowledge in the Hadoop technical stack (Datalake).
• Knowledge of General High Availability and data replication Technologies.
• Knowledge of Machine learning and artificial Intelligence Technologies.

• General understanding of data governance issues (data lifecycle, data quality, data security)
• Knowledge of ITIL methodologies and practices (change management, problem management, incident management, DRP, crisis management)