At a Glance
- Tasks: Help customers solve technical issues with Dataiku's AI platform through various communication channels.
- Company: Dataiku is a leading AI platform empowering organisations to harness their AI capabilities.
- Benefits: Enjoy remote work flexibility and be part of a globally distributed team.
- Why this job: Join a dynamic startup environment and contribute to the future of AI technology.
- Qualifications: 3+ years in a technical support role, experience with cloud platforms, and coding skills in Python or R.
- Other info: Be part of a diverse team that values innovation and personal growth.
The predicted salary is between 36000 - 60000 £ 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.
- 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)
- Debrief of your Tech Assessment with Support Team member
- Final Interview with the VP Technical Support
At Dataiku, you will be part of a journey to shape the ever-evolving world of AI. We are not just building a product; we are crafting the future of AI. If you are 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.
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.
Technical Support Engineer employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
reasonable-accommodations@dataiku.com
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Support Engineer
✨Tip Number 1
Familiarise yourself with Dataiku's Everyday AI Platform. Understanding its features and functionalities will not only help you during the interview but also demonstrate your genuine interest in the role.
✨Tip Number 2
Brush up on your cloud platform knowledge, especially AWS, Azure, and GCP. Being able to discuss your experience with these technologies confidently can set you apart from other candidates.
✨Tip Number 3
Prepare for technical assessments by practising advanced log analysis and debugging techniques. This will help you showcase your problem-solving skills effectively during the technical assessment stage.
✨Tip Number 4
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.
We think you need these skills to ace Technical Support Engineer
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's mission and how your background aligns with the role. Mention specific experiences that demonstrate your problem-solving skills and ability to work in a dynamic environment.
Showcase Technical Skills: When detailing your experience, focus on your technical skills related to big data technologies, log analysis, and debugging. Provide examples of how you've successfully resolved complex technical issues in previous roles.
Prepare for the Technical Assessment: Anticipate the technical assessment by brushing up on relevant skills. Review common technical problems related to Dataiku and practice troubleshooting scenarios to demonstrate your expertise during the assessment.
How to prepare for a job interview at Dataiku
✨Understand Dataiku's Platform
Familiarise yourself with Dataiku's Everyday AI Platform. Knowing its features, capabilities, and how it integrates with other technologies will help you answer questions confidently and demonstrate your genuine interest in the role.
✨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 Problem-Solving Scenarios
Expect to encounter technical assessments or problem-solving scenarios during the interview. Practice advanced log analysis and debugging techniques, and be ready to explain your thought process when troubleshooting complex issues.
✨Emphasise Collaboration and Communication
Since the role involves working with various teams, highlight your collaborative mindset. Share examples of how you've effectively communicated with both technical and non-technical stakeholders to resolve issues or improve processes.