Job details

Job description

Data Engineer (IT-DA-ASM-2025-255-LD) Geneva, Switzerland
Contract

Company Description
At CERN, the European Organisation for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature.

Job Description
Introduction

You will join the Analytics, Streaming and Monitoring section which provides Messaging, data Streaming, Monitoring platforms and services, and frontend analytics services for the different CERN communities to facilitate data collection, transport, manipulation, processing, interactive data analysis and central reporting solutions. Moreover, the section works with the Experiments, Accelerator sector, IT and other CERN communities interested in implementing data analysis solutions with these technologies.

Functions
As a Data Engineer in the Database and Analytics Group, your main activities will consist of:

Service management for the Messaging and Data Streaming Services:
Develop and implement service standards and procedures to ensure efficient and effective delivery of messaging services. Oversee messaging infrastructure.
Create and maintain solutions for data streaming use cases.
System administration and support of the monitoring infrastructure and applications by offering metrics, logging, alerting and visualisation tools.
Contributing to the operations of other services in the section, such as the interactive analytics infrastructure (SWAN, Jupyter Notebooks) and the Data Integration and Reporting services.
Consultancy, assistance and advice to end users developing data pipelines and monitoring use-cases.
Sharing domain and technical expertise, providing technical mentorship and training to peers.
Consultancy, assistance and advice to end users developing analytics use-cases

Qualifications
Master's degree or equivalent relevant experience in the field of Computing Science or any related field with significant Computing content or a related field.

Experience:
The successful candidate should have demonstrated experience in following fields:

Technical and troubleshooting skills with Apache ActiveMQ, Apache Kafka, RabbitMQ and/or equivalent technologies.
DevOps operations (Linux systems) and configuration management experience (e.g. Ansible, Puppet, Helm) in Agile development environments and/or cloud native deployments, including tool development, packaging and deployment in Python and Java ecosystems.
Operation of large-scale production Kubernetes environments, including monitoring (for example using Prometheus for metrics) and CI/CD solutions like ArgoCD.
Technical and troubleshooting skills with Kubernetes components, web interfaces and backend stacks, as well as performance and networking debugging on the Linux platform.

Technical competencies:
Knowledge of system configuration tools: familiarity with automation tools for infrastructure delivery and management.
Knowledge of programming techniques and languages: UNIX shell script and Java programming is required; Python knowledge would be an advantage.
Knowledge of operating systems, such as Linux.
Capturing and analysis of requirements for ICT systems: ability to collect the needs of users and to manage the different phases of a project.
Architecture and design of ICT systems: distributed applications and services
Behavioural competencies:

Solving Problems: identifying, defining and assessing problems, taking action to address them.
Achieving Results: delivering high quality work on time and fulfilling expectations.
Working in Teams: building and maintaining constructive and effective work relationships.
Demonstrating Flexibility: readily absorbing new techniques and working practices; proposing new or improved ways of working.
Learning and Sharing Knowledge: keeping up-to-date with developments in own field of expertise and readily absorbing new information.

Language skills:
Spoken and written English, with a commitment to learn French.
Additional Information

Eligibility and closing date:
Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organisation. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States.

This vacancy will be filled as soon as possible, and applications should normally reach us no later than 04.01.2026 at 23:59 CET.

Employment Conditions

Contract type: Limited duration contract (5 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position.

Working Hours: 40 hours per week

Job Flexibility: Hybrid

This position involves:

Work during nights, Sundays and official holidays, when required by the needs of the Organisation.
Stand-by duty, when required by the needs of the Organisation.
Sporadic attendance to international workshops and conferences in the future
Job grade: 6-7

Job reference: IT-DA-ASM-2025-255-LD

Field of work: Software Engineering and IT

Benchmark Job Title: Computing Engineer

Job location

Switzerland

Job requirements

Skills:

perform online data analysis - analyse transmitted communications - analyse data for policy decisions in trade - use data processing techniques - perform data analysis - establish data processes - visual presentation techniques - analyse scientific data - integrate ICT data - analyse big data - analyse pipeline database information - handle data samples - analyse ecological data - define data quality criteria - manage quantitative data - integrate and re-elaborate digital content - use analytics for commercial purposes - implement data quality processes - analyse test data - inspect data - online analytical processing - integrate content into output media - use specific data analysis software - data quality assessment - process data

Education level:

Short-cycle tertiary education