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- Tasks: Help customers solve technical issues with Dataiku and collaborate with internal teams.
- Company: Dataiku is a leading AI platform empowering organisations to harness their AI capabilities.
- Benefits: Enjoy remote work flexibility, a collaborative culture, and opportunities for personal growth.
- Why this job: Join a dynamic team shaping the future of AI while making a real impact.
- Qualifications: 3+ years in a technical role, experience with cloud platforms, and strong problem-solving skills.
- Other info: Diverse and inclusive workplace committed to fairness and equal opportunity.
The predicted salary is between 30000 - 42000 £ per year.
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? #LI-Remote #LI-AN1
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)
Debrief of your Tech Assessment with Support Team member
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 activityhere.
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We invite you to complete this optional survey to help us evaluate our diversity and inclusion efforts. Submission of the information on this form is strictly voluntary and refusal to provide it will not subject you to any adverse treatment or affect your job application. Information obtained will be kept separate from your name or job application. This information will be kept secure and confidential and will be used solely to evaluate our diversity and inclusion efforts.
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Technical Support Engineer II employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Support Engineer II
✨Tip Number 1
Familiarise yourself with Dataiku's Everyday AI Platform. Understanding its features and capabilities will not only help you in the interview but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your technical problem-solving skills, especially in areas like log analysis and debugging. Be prepared to discuss specific examples of how you've tackled complex technical issues in the past.
✨Tip Number 3
Network with current or former Dataiku employees on platforms like LinkedIn. They can provide valuable insights into the company culture and the expectations for the Technical Support Engineer role.
✨Tip Number 4
Prepare for the technical assessment by practising with cloud platforms like AWS, Azure, and GCP. Familiarity with these technologies will give you an edge during the evaluation process.
We think you need these skills to ace Technical Support Engineer II
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in technical support and client-facing roles. Emphasise your familiarity with cloud platforms, Docker, Kubernetes, and any programming skills in Python or R.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for Dataiku and the Technical Support Engineer role. Mention specific experiences that demonstrate your problem-solving skills and ability to work in a dynamic environment.
Showcase Relevant Skills: When filling out your application, clearly list your technical skills, especially those mentioned in the job description, such as experience with big data technologies and relational databases. This will help you stand out.
Prepare for Technical Assessment: Be ready for the technical assessment by brushing up on advanced log analysis, debugging techniques, and any relevant software tools. Practising common technical problems related to Dataiku can also be beneficial.
How to prepare for a job interview at Dataiku
✨Understand Dataiku's Products
Familiarise yourself with Dataiku's Everyday AI Platform and its features. Knowing how the platform works and its capabilities will help you answer technical questions confidently and demonstrate your genuine interest in the company.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud platforms like AWS, Azure, and GCP, as well as your knowledge of Docker, Kubernetes, and SQL. Highlight specific examples where you've successfully solved technical issues in previous roles.
✨Prepare for the Technical Assessment
Since there's a technical assessment involved, practice common troubleshooting scenarios and be ready to perform log analysis or debugging tasks. Brush up on your Python or R coding skills, as these may come into play during the assessment.
✨Emphasise Collaboration
Dataiku values teamwork, so be sure to highlight your collaborative experiences. Share examples of how you've worked with cross-functional teams to resolve customer issues or improve processes, showcasing your ability to communicate effectively.
