DataikuDA

Technical Support Engineer II

Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI.

Dataiku

Employee count: 1001-5000

Germany only

Dataiku is looking for an experienced technical support engineer to help EMEA and global customers solve technical issues with Dataiku. The ideal candidate will have experience in a client-facing engineering or technical role, cloud platforms, and technical problem solving.

Requirements

  • At least 3 years of experience in a client-facing engineering or technical role
  • 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

Benefits

  • 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

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

Germany +/- 0 hours

About Dataiku

Learn more about Dataiku and their company culture.

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Dataiku is the platform for Everyday AI, designed to empower organizations by enabling everyone — from data scientists and engineers to business analysts and domain experts — to contribute to and benefit from the power of artificial intelligence. Many customers face the challenge of operationalizing AI at scale and embedding data-driven decision-making into their daily workflows. Dataiku addresses this by providing a centralized, collaborative platform that streamlines the entire data-to-insights lifecycle. This includes data preparation, model development, deployment, and ongoing management and governance. The goal is to help companies transform their business outcomes by making AI an integral part of their operations, rather than a siloed, specialist function. Our customers trust us because we understand the complexities of their organizations and provide a flexible, robust solution that adapts to their existing infrastructure and diverse skill sets.

Founded on the principle that to succeed in a rapidly evolving global ecosystem, companies must elevate their people to continuously innovate, Dataiku has been a leader in democratizing data and fostering organization-wide collaboration since 2013. We support a wide array of use cases, from fraud detection and customer churn prevention to predictive maintenance, supply chain optimization, and the development of Generative AI applications. By offering a platform that caters to both technical and non-technical users, Dataiku helps break down silos, encouraging a human-centric approach to AI. This ensures that businesses can not only build powerful AI solutions but also deploy them responsibly and effectively, driving tangible value and fostering a culture of data literacy and innovation across all departments. Our commitment is to help organizations harness their data to make better decisions daily, ultimately powering their future success.

Employee benefits

Learn about the employee benefits and perks provided at Dataiku.

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401(K)

401(K) plan available.

Commuter benefits

Commuter benefits offered.

Performance bonus

Performance bonus offered.

Unlimited Sick Days

Dataiku offers unlimited sick days.

View Dataiku's employee benefits
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Dataiku

Company size

1001-5000 employees

Founded in

2013

Chief executive officer

Florian Douetteau, Clément Sténac

Employees live in

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Dataiku hiring Technical Support Engineer II • Remote (Work from Home) | Himalayas