Job Opportunities in Netherlands

ORGANISATIONAL CONTEXT

FUNCTIONS AND DUTIES

• Provide support to EC3 operational activities by extracting, transforming or loading (ETL) of large datasets contributed by the EU MS or collected from open sources;
• Prepare reports, based on information from MS, on possible opportunities for Europol and the MS to work together on specific intelligence and information;
• Maintain close contact with the members of the Analysis Projects and/or other relevant partner agencies/organisations;
• Keep up-to-date with relevant developments in cybercrime and technology that may impact the law enforcement environment, in order to provide state of the art support and expertise to the MS;
• Support the administration, maintenance and technical management of various advanced tools operated by EC3 jointly with other EC3 colleagues and/or ICT;
• Enhance Europol’s ability to exploit criminal intelligence with the aim of supporting investigations of the MS by implementing automatic enrichment and analysis of datasets;
• Participate in meetings, working groups and conferences and present analytical and technical results as and when required;
• Provide on-the-spot operational support to specific operational enquiries and events if and when required.

REQUIREMENTS - ELIGIBILITY AND SELECTION CRITERIA

• Be a member of a competent authority in the meaning of the Article 2a) of the Europol Regulation and enjoy full rights as a citizen of a Member State;
• Produce evidence of a thorough knowledge of one of the languages of the European Union and of a satisfactory knowledge of another language of the European Union in accordance with the decision of the Management Board on the internal language arrangements of Europol as referred to in Article 64(2) of the Europol Regulation, with the understanding that the SNE will have to carry out his / her duties in a mainly English-speaking environment;
• Have at least three years of professional experience in the field of law enforcement which is relevant to the duties to be carried out during the secondment.

• Experience with ETL-processes and related tools;
• Experience using SQL (e.g. My SQL, MSSQL) and No SQL (e.g. Elasticsearch, Apache Solr, Mongo DB) databases;
• Experience in programming and/or scripting required to process large volumes of data (e.g. Python).

• Experience investigating large datasets related to cyber dependent and/or cyber enabled crimes;
• Experience in using advanced data science techniques such as machine learning, in particular in the area of Natural Language Processing.

• Sound knowledge on cybercriminal modus operandi and how these manifests in data sets;
• In depth knowledge in SQL and No SQL Databases;
• Basic knowledge of programming and/or scripting;

• Sound knowledge of data science and data analysis techniques and methods to derive key cyber entities from datasets;
• Knowledge of legal frameworks related to data processing, such as GDPR and the Europol Regulation as well as the AI Act;
• Knowledge of the law enforcement environment and practices in the field of cybercrime.

• Very good communication skills in English, both orally and in writing;
• Ability to draft clear and concise documents on complex matters for various audiences;

• Keen eye for detail with the ability to maintain standards of accuracy under pressure of tight deadlines;
• Excellent analytical and critical thinking skills;
• Competent user of Microsoft Office applications (MS Word, Excel, Power Point and Outlook) and the internet.

• High degree of commitment and flexibility.
• High level of customer and service-orientation.

• Good administrative and organisational skills.

• Ability to work well under pressure, both independently and in a team;
• Very good interpersonal skills, including the ability to effectively liaise with other departments, groups and teams as well as with external partners.

• Ability to work effectively in an international and multi-cultural environment.

SELECTION PROCEDURE

COMPENSATION, TERMS AND CONDITIONS

ADDITIONAL INFORMATION

In case of further questions please call +31 (0) 70 353 1387 or +31 (0) 70 302 5276.