6 meilleures offres (engineer cloud devops) (à pourvoir)

Data Engineer
TRM International —Lausanne, VD
- De 87 000 CHF à 163 500 CHF par an
- 100%
- Anglais
- Niveau Master
- SQL
Postuler rapidement
il y a 8 jours
Architecte Cloud M365
Sword Technologies SA —Eysins, VD
- 100%
- Travail hybride
- Windows
- SharePoint
Postuler rapidement
il y a 8 jours
Forward Deployed Engineer
Ethon —Zürich, ZH
- 100%
- SQL
- Python
- Congé parental payé
Postuler rapidement
il y a 7 jours
Senior Product Marketing Manager - AI/ML
Snowflake —Home Office
- 100%
- Télétravail
- SQL
- Python
il y a 4 jours
Senior Project Manager, Delivery
Blockstream —Zürich, ZH
- 100%
- Gestion du personnel
- PMP
- Anglais
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Platform Engineer (Kubernetes & Infrastructure) 80–100%
Prime21 AG —Suisse
- 100%
- Télétravail
- Anglais
- Bases de données
- Linux

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Data Engineer

TRM International
Lausanne, VD

Postuler rapidement

Détails de l'emploi

CDI | 100%
De 87 000 CHF à 163 500 CHF par an
Il y a 8 jours

Avantages

Pension d'entreprise
Événements d'entreprise

Qualifications

SFTP
Anglais
Niveau Master
SQL
AWS
Esprit d'analyse
Docker
Sens de l'organisation
HTTPS
Compétences en communication
Entrepôt de données
Python

Description complète du poste

TRM International is excited to be hiring for a Data Engineer for a leading and international institutional brokerage group with a 65‐year track record of trust, innovation and expertise.

The Data Engineering team is responsible for delivering the data foundations that power analytics, reporting, and decision-making across the Group.

They own the full lifecycle of their data products—from ingestion and transformation to deployment, monitoring, and continuous improvement. Operating as a lean and highly collaborative team, they embrace DevOps principles and take end-to-end ownership of what they build.

Their philosophy is simple: “Build it. Test it. Deploy it. Monitor it. Improve it.”

Your mission:

As a Data Engineer, you will contribute to the reliability and business value of their Data Platform.

This role combines production support, platform monitoring, and data modelling. Beyond technical

implementation, they are looking for someone who can engage with business stakeholders, understand

complex business processes, and translate business concepts into robust, maintainable, and

analytically meaningful data models.

Success in this role requires curiosity, analytical thinking, and the ability to bridge the gap between

business requirements and technical solutions.

Your role:

Data Modelling & Business Analysis

Translate business concepts into scalable, well-structured transformation pipelines and

analytical models.

Design and build trusted, reusable, and well-documented data products that are

discoverable, reliable, and support multiple use cases.

Data product mindset: ability to think in terms of reusable, well-defined, consumer-focused

datasets.

Drive data quality, consistency, and modelling best practices.

Monitoring & Platform Reliability

Own and continuously improve the monitoring and observability ecosystem.
Proactively identify issues, performance bottlenecks, and data quality concerns.
Develop alerts, dashboards, and operational procedures that enable rapid issue detection

and resolution.

Application Support & Incident Management

Investigate and resolve production incidents across the data platform.
Support a growing user base by responding to operational and business requests.
Collaborate with engineering teams to identify root causes and implement long-term

solutions.

Help maintain the reliability and availability of critical data services.

Your profile

Experience: 3+ years of experience in Data Engineering, Software Engineering, or a related

field. Proven experience supporting production systems and monitoring data pipelines or

applications, as well as building and maintaining analytical data models.

Technical Skills: Strong experience with SQL, Python, dbt, Docker, Kubernetes,

OpenSearch or similar logging tools, Prometheus and Grafana (or equivalent observability

tools), and cloud-native data platforms and modern data architectures

Business & Analytical Skills: Ability to translate complex business needs into data models

and products, with a strong focus on business value; knowledge of dimensional modeling

and analytics engineering is a plus.

Education: Master’s degree in Computer Science, Information Technology, Engineering,

or a related field.

Soft Skills: Excellent English communication skills; proactive, collaborative, and self-driven

with a strong sense of ownership and accountability.

Why Join Us?

Career Growth: Opportunity for development within a global financial powerhouse

Supportive Culture: A diverse and innovative workplace that values collaboration.

Competitive Compensation: Attractive salary and variable compensation.

Comprehensive Benefits: Including pension fund, benefit platforms and more.

Flexible Work Policy: A clear directive for remote work options to support work‐life balance.

It is an exciting time to join their Teams. All applications will be handled in the strictest confidence.

Pay: CHF87’000.00 - CHF163’500.00 per year

Benefits:

Company events
Company pension

Work Location: In person

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engineer cloud devops emplois

Data Engineer

Architecte Cloud M365

Forward Deployed Engineer

Senior Product Marketing Manager - AI/ML

Senior Project Manager, Delivery

Platform Engineer (Kubernetes & Infrastructure) 80–100%

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