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.

Why Engineering at Dataiku?

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.

What to know about the Field Engineering team

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.

How you’ll make an impact

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.

Some expected outcomes for this role:

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

What you need to be successful:

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

What will make you stand out:

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 #LI-Hybrid

What does the hiring process look like? #LI-Hybrid

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

What are you waiting for!

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! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.

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. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [email protected]

Why Engineering at Dataiku?

What to know about the Field Engineering team

How you’ll make an impact

Some expected outcomes for this role:

What you need to be successful:

What will make you stand out:

What does the hiring process look like? #LI-Hybrid

6 month growth

1 year growth

2 year growth

Simplify's Take

What believers are saying

What critics are saying

What makes Dataiku unique

Benefits