Description
Critères de l'offre
* Métiers :
* Data Engineer
* Expérience min :
* 6 à 21+ ans
* Diplômes :
* No Diploma
* Compétences :
* Kubernetes
* MongoDB
* Relational Databases
* Python
* Version control
* Lieux :
* Geneva
* Conditions :
* Permanent contract
* Full Time
Critères de l'offre
* Métiers :
* Data Engineer
* Expérience min :
* 6 à 21+ ans
* Diplômes :
* No Diploma
* Compétences :
* Kubernetes
* MongoDB
* Relational Databases
* Python
* Version control
* Lieux :
* Geneva
* Conditions :
* Permanent contract
* Full Time
## L'entreprise : LHH ##
**The Adecco Group Switzerland**
Plus d'infos sur LHH
## Description du poste ##
For one of our clients in Geneva, we are recruiting a Senior Front Office Data and Analytics Engineer who is open-minded and client-oriented, is passionate about his work, who believes in success and has a strong team spirit. Are you looking for you next challenging position? This opportunity is for you!
### **Key Responsibilities** ###
* Partner closely with traders, analysts, and portfolio managers to understand data and research needs and deliver scalable solutions.
* Design, implement, and maintain **real-time and batch data pipelines** across internal and external sources.
* Manage and optimize data workflows on **AWS**, including **containerized environments with Docker**.
* Ingest, transform, and serve large-scale **multi-asset financial datasets** using **Python**, **Snowflake**, and **NoSQL databases** (e.g., **MongoDB**).
* Ensure data quality, integrity, and availability across the Front Office ecosystem.
* Provide **first-line production support**, including troubleshooting data issues, monitoring pipeline health, and responding quickly to Front Office needs.
### **Required Qualifications** ###
* 8+ years of experience as a Front Office engineer, ideally within buy-side, sell-side, or trading environments.
* Strong expertise in **Python** and solid software engineering practices (version control, testing, CI/CD).
* Proven track record building robust data pipelines in **cloud-native environments** (AWS preferred).
* Experience with **Docker** and container-based deployments.
* Strong knowledge of **Snowflake** and **NoSQL databases** (especially MongoDB).
* Good understanding of financial markets and instruments (**Fixed Income**, **Credit**, **Interest Rates**, etc.).
* Proactive mindset, excellent problem-solving skills, and ability to thrive in a fast-moving Front Office setting.
### ###
\#LI-Hybrid