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Technical Support Engineer
France, Remote; Germany, Remote; Netherlands, Amsterdam; Spain, Remote; United Kingdom, Remote
·
Remote
·
Full-time
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1mo ago
必須スキル
Python
SQL
AWS
Docker
Kubernetes
GCP
Azure
Spark
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.
What to know about the Dataiku Support Team
At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function.
How you’ll make an impact
We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.
Some expected outcomes for this role
Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels
Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement
Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution
Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise
Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment
What you’ll need to be successful
At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product
Experience with cloud platforms such as AWS, Azure, and GCP
Experience with Docker and Kubernetes:
Collaborative and helpful mindset with a focus on always working as a team
A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors
Proficiency working with Unix-based operating systems
Experience with relational databases (or data warehouses like Snowflake) and SQL
Ability to read and write Python or R code
What will make you stand out
Experience with big data technologies, such as Hadoop or Spark
Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos
Experience with ML models and LLMs:
What does the hiring process look like?
Initial call with a member of our Technical Recruiting team
Video call with the Technical Support Manager:
Technical Assessment to show your skills (Home Test)
A technical interview with the TSE team to build on the assessment you completed
Final Interview with the VP Technical Support:
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! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
*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: *reasonable-accommodations@dataiku.com
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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Dataikuについて

Dataiku
Series EDataiku is a data science platform that enables organizations to build and deploy machine learning models and analytics workflows. The company provides tools for data preparation, modeling, and operationalization of AI applications.
501-1,000
従業員数
New York
本社所在地
$4.6B
企業価値
レビュー
3.7
10件のレビュー
ワークライフバランス
3.2
報酬
2.8
企業文化
4.1
キャリア
2.9
経営陣
2.7
65%
友人に勧める
良い点
Supportive and collaborative team
Good work-life balance and flexibility
Access to training and development
改善点
High workload and overwhelming demands
Poor management communication and organization
Limited career advancement opportunities
給与レンジ
8件のデータ
Senior/L5
Intern
Senior/L5 · SENIOR DATA STATISTICIAN
2件のレポート
$195,000
年収総額
基本給
$150,000
ストック
-
ボーナス
-
$195,000
$195,000
ニュース&話題
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3d ago
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5d ago
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