At a Glance
- Tasks: Help customers solve technical issues with Dataiku's AI platform through various communication channels.
- Company: Join Dataiku, a leading AI company pioneering the future since 2013 with a global team.
- Benefits: Enjoy remote work flexibility and be part of a diverse, innovative culture.
- Why this job: Make a real impact in AI while collaborating with a supportive, dynamic team.
- Qualifications: 3+ years in a technical role, experience with cloud platforms, and strong problem-solving skills required.
- Other info: Diverse and inclusive workplace committed to personal growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
What to know about the Dataiku Support Team:
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:
- 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'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.
Technical Support Engineer - Remote employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Support Engineer - Remote
✨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 knowledge of cloud platforms like 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 the technical assessment by practising advanced log analysis and debugging techniques. This will help you showcase your problem-solving skills effectively during the evaluation.
✨Tip Number 4
Network with current or former employees of Dataiku 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 - Remote
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 AI revolution. Mention specific experiences that demonstrate your problem-solving skills and ability to work collaboratively in a remote environment.
Showcase Technical Skills: When detailing your technical skills, be specific about your experience with big data technologies, relational databases, and any relevant tools. Use examples to illustrate how you've successfully resolved technical issues in the past.
Prepare for the Interview Process: Familiarise yourself with the hiring process outlined by Dataiku. Be ready to discuss your technical assessment and provide insights into your problem-solving approach during the final interview with the VP of Technical Support.
How to prepare for a job interview at Dataiku
✨Understand the Company and Its Products
Before your interview, take some time to research Dataiku and its Everyday AI Platform. Familiarise yourself with their mission, values, and the specific technologies they use. This will not only help you answer questions more effectively but also 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 familiarity with Docker, Kubernetes, and Unix-based systems. Highlight specific examples of how you've solved technical issues in the past, especially those that relate to big data technologies or programming languages like Python or R.
✨Demonstrate Problem-Solving Abilities
Since the role involves troubleshooting complex technical issues, be ready to walk through your problem-solving process. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing how you approach challenges and collaborate with teams to find solutions.
✨Prepare for Technical Assessments
Expect a technical assessment as part of the hiring process. Brush up on your skills related to log analysis, debugging, and SQL queries. Practising common technical problems and scenarios can help you feel more confident and perform better during this part of the interview.