Technical Support Engineer

Dataiku
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Amazon Web Services (AWS)
User Authentication
Azure
Big Data
Unix
Data Warehousing
Relational Databases
Software Debugging
Hadoop
Python
Kerberos (Protocol)
Lightweight Directory Access Protocols (LDAP)
Log Analysis
Machine Learning
Standard Sql
Security Assertion Markup Language (SAML)
Google Cloud Platform
Large Language Models
Snowflake
Spark
Dataiku
Docker

Job description

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

Requirements

  • 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

About the company

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance. The world's leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube. 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.

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