3 publicaciones de empleo destacadas de python full stack engineer en madrid, md (¡Están contratando!)

Sales Engineer
Dataiku —Madrid, Madrid provincia
- Español
- Azure
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Senior Data Platform / Data Engineer
Straumann Group —La Moraleja, Madrid provincia
- Jornada completa
- AWS
- Machine learning
- Python
Lead AI Engineer, Business Acceleration
SGS —Madrid, Madrid provincia
- Jornada completa
- Máster
- AWS
- Inteligencia artificial
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Assist in sales pipeline building activities, including attendance at live and/or virtual trade shows and industry conferences, working with marketing and or…

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Sales Engineer

Dataiku -
Madrid, Madrid provincia

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Detalles del empleo

Cualificaciones

Español
Azure
Ventas
Big data
Software empresarial
Estructura de datos
R
Inglés
SQL
AWS
Machine learning
Flujo de ventas
Cloud
Requisitos comerciales
Inteligencia artificial
Italiano
Python

Descripción completa del empleo

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.

The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

We are looking for a Sales Engineer to join our team, covering Italy and Spain. In this role, you will get hands-on experience applying the latest big data technologies to business use cases with companies whose names you hear and products you use every day. Our ideal candidate is comfortable learning new technologies and can explain their work to both technical and non-technical stakeholders.

You will be operating as a Sales Engineer with a background in Data Science. Running your own opportunities (together with the opportunity team) while acting as a sparring partner, supporting your team with any in-depth Data Science challenges or conversations on their opportunities.

How you'll make an impact:

Qualify deals through collaboration with the Account Executive (AE), the Business Development Representative (BDR), and sales management.
Conduct Discovery meetings and learn from the customer and the BDR about the customer's business requirements and technical environment.
Articulate to the Opportunity Team and to the customer usage scenarios that illustrate the business value desired by the customer.
Use Dataiku to demonstrate the business value articulated in the usage scenarios.
Design projects and execute Dataiku demonstrations that clearly illustrate how to apply data science techniques within our software to deliver the required customer value.
Plan and execute Proof-Of-Concepts (POC), and evaluations through coordination of resources and co-development of data science projects with our prospective customers. Lead the combined team to carry out the agreed-upon course of action to prove that Dataiku delivers the needed value better than our competitors.
Answer questions and provide technical guidance to the customer's technical team regarding the demonstrated solution.
Assist in sales pipeline building activities, including attendance at live and/or virtual trade shows and industry conferences, working with marketing and or partners on campaign design and execution and other activities specified by sales and pre-sales management.

What you'll need to be successful:

English - fluent; Spanish and Italian - fluent/native
Strong natural and intellectual curiosity, especially around the application of technology to solve all kinds of problems
Experience in the data science, analytics, or big data markets is preferred
5+ years of experience with predictive modelling and an understanding of relational data structures and SQL
Programming in Python/R would be a bonus
Experience working with cloud infrastructures (AWS, GCP, Azure)
Experience in Analytics/AI or other enterprise software
Experience in technical pre-sales or other client-facing roles (consulting, etc.)
Comfortable talking to all levels of customer teams from individual contributors to C-level executives, and/or a passion for public speaking

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku!

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [email protected]

Protect yourself from fraudulent recruitment activity

Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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