Posted:
2/3/2025, 12:30:58 AM
Location(s):
England, United Kingdom ⋅ London, England, United Kingdom
Experience Level(s):
Senior
Field(s):
Data & Analytics
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.
Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.
This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.
Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack
Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers
Drive technical success by being a trusted advisor to our customers and our internal account teams
Professional experience with at least one cloud based services (AWS, GCP or Azure)
Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
Some experience with Python
Grit when faced with technical issues
Comfort and confidence in client-facing interactions
Ability to work both pre and post sale
Some knowledge in Data Science and/or machine learning
Linux system administration experience
Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning
Experience with authentication and authorization systems like(A)AD, IAM, and LDAP
Initial call with a member of our Technical Recruiting team
Video call with the Field Engineer Hiring Manager
Technical Assessment to show your skills (Home Test)
Debrief of your Tech Assessment with Field Engineer Team members
Final Interview with the VP Field Engineering
Website: https://www.dataiku.com/
Headquarter Location: Paris, Ile-de-France, France
Employee Count: 501-1000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series F
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Big Data ⋅ Data Integration ⋅ Enterprise Software