20 meilleures offres (applied ai engineer, ml infrastructure engineer / devops emea, paris 19e, a8) (à pourvoir)

Data Engineer
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- Télétravail
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Senior Frontend Engineer, Accounting - 100% Remote - EMEA
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Postuler rapidement
il y a 5 jours
Data Scientist GenAI
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- Anglais
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Key Customers Solutions Architect EMEA
Nebius —Paris (75)
- Télétravail
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- Intelligence artificielle
- Python
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Principal Solutions Architect
Nebius —Paris (75)
- Télétravail
- Azure
- Intelligence artificielle
- Python
Postuler rapidement

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : applied ai engineer, ml infrastructure engineer / devops emea (paris 19e, a8)

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Data Engineer

Odaseva -
Paris (75)

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Détails de l'emploi

Temps plein

Qualifications

Français
Gestion des coûts
Modélisation de données
Azure
Salesforce
Spark
Anglais
Master
SQL
AWS
Ingénierie informatique
Securité
S3
Apache
Redshift
Intelligence artificielle
Python

Description complète du poste

Since 2012 Odaseva has helped global enterprises secure and manage their most valuable asset: data.

The Odaseva EnterpriseData Platform secures and manages Salesforce data, ensuring data resilience, regulatory compliance, and unlocking the value of data. It’s built to solve the complex challenges of large-scale global enterprises.

We’re a fast-growing scale-up with offices in San Francisco, Paris, Sydney, London, Kuala Lumpur, Singapore, and more.

We serve a global customer base including Fortune 500 companies, government organizations, and NGOs supporting more than 100 million Salesforce users worldwide.

At Odaseva, our values, Trust, Service, Commitment, Excellence, Kaizen, and One Team, define the environment we foster for our employees to thrive and succeed.

Join Odaseva’s R&D team and help shape the future of our data platform.

We’re a SaaS company specializing in secure data management around Salesforce environments.

You’ll design, build, and optimize scalable data pipelines and help kick-start our first AI use cases.

Key Responsibilities

Data Pipeline Development: Design, build, and maintain ingestion/processing pipelines at scale using Python/SQL and Spark; operate within a lakehouse stack (Apache Iceberg or Delta Lake).
Databricks & Snowflake Engineering: Implement and optimize workflows on Databricks (Jobs, Workflows, Delta) and/or Snowflake (Warehouses, Tasks, Streams) and/or native cloud provider solutions (AWS / AZURE).
Platform Optimization: Improve performance, reliability, and cost on AWS (S3, Redshift, Athena/Glue, Lambda), with strong observability and IaC practices.
Secure Data Management: Apply security-by-design, data governance, and compliance best practices across storage, compute, and sharing layers.
AI Use Case Enablement: Partner with Product team and R&D team to prepare data for initial AI/ML use cases (feature pipelines, data quality, lineage).
Data Sharing & Integration: Enable secure, efficient data access for customers via connectors, APIs, and lakehouse sharing patterns (e.g., Delta Sharing, Snowflake data sharing).

Experience and Background

Equivalent engineering school degree, or a Master's degree in Computer Science, Data Science, or Applied Mathematics.
7–12 years in data engineering or backend data platforms.
Strong Python and SQL; experience with Spark and modern ELT/Orchestration (e.g., dbt, Airflow).
Hands-on with Databricks and/or Snowflake in production.
Experience on AWS (S3, Glue/Athena, Redshift, Lambda) and lakehouse formats (Iceberg or Delta Lake).
Familiarity with data security, governance, and compliance.
Proven experience with data modeling.
Knowledge of cost management principles.
Salesforce data knowledge is a plus, not mandatory.
Foundational AI/ML understanding and motivation to contribute to early use cases.
Fluent in English and French, clear communication, ownership mindset, and collaborative approach.
Excellent interpersonal skills and ability to interact with diverse business stakeholders

Where you'll be

Based in Paris (75002), France.
Hybrid: 3 days in the office / 2 days remote work.
Full time permanent contract position.

Who We Are

At Odaseva, we believe in fostering an inclusive, supportive work environment where talented people can innovate and grow. Our culture is built on being smart, humble, hardworking, and above all—collaborative.

Our core values define who we are: Trust, Customer Centricity, Engagement, Excellence, Continuous Innovation, and Teamwork.

Inclusive & Diverse – We champion equality and embrace diversity.

Supportive & Collaborative – A team of smart, kind professionals who uplift each other through teamwork, not competition.

Excellence with a Casual Touch – High professional standards in a relaxed, approachable work culture.

Impact-Driven – A place where you can truly make a difference and advance your career.

Innovators in Data & Cloud – Leading the way in cutting-edge technology and solutions.

Competitive & Rewarding – Offering industry-leading compensation and benefits.

Truly Global – With offices in Paris, San Francisco, Sydney, and London, and a worldwide presence.

Flexible Work Environment – We support a hybrid, flexible office culture.

At Odaseva, we are an Equal Employment Opportunity (EEO) employer. We consider all applicants for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.

Compensation:

The compensation range will be determined as a reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors.

If this sounds like the right place for you, we encourage you to apply!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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applied ai engineer, ml infrastructure engineer / devops emea emplois - paris 19e, a8

Data Engineer

PhD in Artificial Intelligence

Project Quality Engineer

Stage - Data Governance Engineer H/F/X (août 2026)

Growth Analytics Engineer

Senior Backend Engineer, Communications - 100% Remote - EMEA

Cybersecurity Engineer - Incident and Resilience specialist

Manager I, Engineering - AI Platform - Training & Serving

Industrial Quality Engineer

Data Engineer

Customer Delivery Manager

R&I Senior Data Engineer

Backend Software Engineer, Monk

Senior Fullstack Engineer - Accounting - 100% Remote - EMEA

Backend Software Engineer III, Monk

Staff Backend Engineer - Accounting - 100% Remote - EMEA

Senior Frontend Engineer, Accounting - 100% Remote - EMEA

Data Scientist GenAI

Key Customers Solutions Architect EMEA

Principal Solutions Architect

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : applied ai engineer, ml infrastructure engineer / devops emea (paris 19e, a8)

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