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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.
Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.
This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.
Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.
This is an internal and non-client facing role.
Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform. That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:
Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.
Develop engineering expertise within Snowflake for data engineering and security/governance features
Build & maintain python & SQL data replication & data pipelines on large & often complex data sets
Build & maintain data quality metrics & observability to help drive data quality standards
Learn about existing systems and processes across Data Platforms, Data Engineering and Data Governance
Troubleshoot data pipelines, platform automations, data access system.
Help field and troubleshoot various community questions and challenges
Own, maintain and enhance data operation processes, monitoring & data quality systems
Design data models for both short term and long term use cases to support data warehouse scalability
Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
Identify opportunities for improvements & optimization for greater scalability & delivery velocity
Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
Perform root cause analysis on often complex errors to help ensure data pipeline availability
Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration
Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
Proactively drive innovation internally with bringing ideas for platform and process improvements
Help contribute to the ongoing documentation of internal systems and processes
2+ years of relevant experience in Data Engineering / Data Platform Engineering
Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus.
Prior experience with Snowflake a plus
Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
Experience in building data models
Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.
Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment
Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision
Ready to apply?
Apply to Dataiku
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.
The Partnerships & Alliances team is the connective tissue between Dataiku and the broader AI ecosystem — Global Systems Integrators (Accenture, Deloitte, PwC, Capgemini), Regional Systems Integrators, and Tech Alliances (AWS, Microsoft, Google, Snowflake, Databricks, Nvidia). While our Partner Sales Managers (PSMs) act as the strategic advisors to the field, we're seeking a Partner Sales Manager Intern to be the operational engine that powers everything behind the scenes.
In this role, you'll help architect the visibility of partner engagement and ensure our internal sales teams (AEs, SEs, CSMs) have the resources, data, and communications they need to work effectively with our partner ecosystem. You'll gain hands-on exposure to enterprise partnerships, GTM operations, and the inner workings of a fast-scaling AI company.
Communication & Brand Advocacy
Partner Onboarding & Lifecycle Management
Operational Excellence
#LI-AS1
Ready to apply?
Apply to Dataiku
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.
Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.
How you'll make an impact
What you'll need to be successful
How you'll stand out
What does the hiring process look like? #LI-Hybrid #LI-AN1
#LI-JR1
Ready to apply?
Apply to Dataiku
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.
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Integrating with all clouds, data platforms, AI services, and legacy systems, Dataiku is aggressively agnostic, providing its customers with full technology optionality.
Why Engineering at Dataiku?
Dataiku’s platform (on-prem, cloud, or SaaS) brings together the best of data and AI technologies. Our tech stack reflects our commitment to quality and innovation from the latest LLMs to strong involvement in open-source communities.
As People Business Partner for the Technology organization, you act as a strategic advisor to Engineering and Product leadership. Your mission is to strengthen organizational capability and ensure long-term retention of critical skills.
You will focus on workforce planning, structured career development, succession planning, and leadership enablement to support business growth and product delivery objectives.
What you’ll do:
Workforce planning & Organizational Efficiency
Partner with the Talent Acquisition team to anticipate hiring and capability needs
Identify critical roles and succession gaps
Support organizational design and role clarity initiatives
Ensure compensation fairness in collaboration with the Total Rewards team
Career Development & Talent Growth
Design and implement structured career paths for Engineering & Product teams
Develop internal mobility pathways for employees transitioning into Tech roles
Coach managers on performance management, feedback quality, and development planning
Provide coaching to employees on career progression and development plans
Retention & Engagement
Use attrition and engagement data to recommend corrective actions
Develop proactive retention plans for key contributors and high potentials
Partner with managers and Employee experience teams to design initiatives strengthening team cohesion
Define recurring engagement initiatives aligned with Tech team dynamics
Leadership Partnership & Operational Support
Act as a trusted advisor to Engineering and Product leaders
Support managers in navigating team dynamics and performance challenges
Serve as liaison between employees and HR Operations for administrative matters
Work on cross-functional People projects
Profile
Experience in People Business Partnering within fast-paced or technology-driven environments
Trusted advisor with the ability to influence, challenge, and guide stakeholders constructively
Data-driven thinker, committed to turning HR data into strategic insights
Structured, proactive, and comfortable operating in matrix organizations
Why join this role ?
This is an opportunity to directly shape the future of Dataiku’s Technology organization by designing scalable talent systems, strengthening leadership capability, and enabling teams to deliver meaningful product innovation at scale all within a fast-growing, international, collaborative, and inclusive environment.
#LI-JR1
Ready to apply?
Apply to Dataiku
Share this job
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.
You will play a pivotal role in shaping Dataiku's product positioning, roadmap, and requirements for predictive analytics, machine learning, and GenAI under the responsibilities of the Director of Product Management in charge of Dataiku AI/ML offering. You will work with stakeholders across all parts of the business, including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams, to execute growth projects and new products and features.
Your challenge is to identify and shape net new capabilities: innovations that are core additions to the product, discovered through deep customer engagement and validated before engineering commits. You are not here to maintain what exists in the long run, you will work with Technical Product Managers. You are here to find what's missing and make the case for building it.
If you're ready to step into a role where your expertise leads to tangible, wide-scale impact, where every insight you gather shapes the future of our products, we're waiting for you!
Ready to apply?
Apply to Dataiku
Share this job
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.
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.
We are looking for a Business Development Representative to join our growing team focused on the Italian market. As a Business Development Representative, you are responsible for driving Dataiku's business development activities across Italy. You must have the ability to understand the sales development process and technology stack and ensure its adoption. We are looking for a results-driven, hands-on self-starter, motivated to constantly improve and optimize the process to drive performance.
Location: This role is focused on the Italian market. You can be based in our Milan office, or within our Mediterranean hubs in Madrid or Paris.
#LI-CM
Ready to apply?
Apply to Dataiku
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.
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.
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 Sr Director Field Engineering
Ready to apply?
Apply to Dataiku
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.
As the Marketing Specialist – South Europe, you will support the planning and execution of marketing programs and campaigns that drive engagement, brand awareness, and pipeline growth in the region. You will work closely with our sales team (Account Executives, Customer Success Managers, and Business Development Representatives) as well as global marketing functions to align regional efforts with overarching business objectives.
This role is hands-on and execution-focused, ideal for a marketing professional with practical experience who is looking to develop deeper expertise in B2B marketing within a fast-paced environment.
Ready to apply?
Apply to Dataiku
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