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.

What you’ll do: 

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

Requirements: 

• 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

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.

How You'll Make an Impact

Communication & Brand Advocacy

• Lead the end-to-end creation and distribution of a Quarterly Partner Newsletter, tailored for two distinct audiences: an internal edition highlighting KPIs and team wins for stakeholders, and an external edition showcasing successes and metrics to strengthen partner trust.
• Draft and finalise quarterly "Win Wires" — strategic success stories celebrating major deal closures and partnership milestones across the organisation.
• Track, gather, and synthesise data (KPIs, deal progress, sourced/influenced GNARR) to fuel reporting and ecosystem visibility.

Partner Onboarding & Lifecycle Management

• Own and streamline the end-to-end partner onboarding journey, from contract setup in Ironclad through to first certification.
• Ensure partner data (tiers, regions, specialisations) is accurately reflected across Salesforce and Ironclad.
• Equip new partners with timely access to the partner portal, training, and tools they need to ramp quickly.

Operational Excellence

• Maintain dedicated Hyperscaler portals (AWS, Microsoft, Google) to ensure real-time visibility into shared opportunities, pipeline, and joint initiatives.
• Keep the Partner Capability Matrix and onboarding documentation current with new product offerings, service updates, and team announcements.
• Provide administrative support for partner event preparation and post-event follow-up in collaboration with Field Marketing and PSMs.
• Help synthesise feedback from Customer Success teams on partner performance to feed into business reviews.

What You'll Learn

• Ecosystem Strategy: How world-class enterprise software companies build, manage, and scale partnerships with GSIs, RSIs, and Hyperscalers.
• GTM Operations: Hands-on experience with the systems and processes (Salesforce, Ironclad, partner portals) that power a global partner motion.
• Cross-Functional Collaboration: Direct exposure to Partner Sales Managers, Account Executives, Sales Leadership, Field Marketing, and Partner Enablement teams.
• Mentorship & Networking: Work alongside senior Partnerships leaders and build meaningful connections across the Revenue organisation.

What You'll Bring

• Master's Degree
• Organised and detail-oriented, with a knack for making processes run smoothly and a high bar for data accuracy.
• Strong written communication skills — comfortable drafting newsletters, success stories, and partner-facing content.
• Tech-savvy and curious, quick to learn new tools (familiarity with Salesforce, Ironclad, or partner portals is a plus, but not required).
• Basic data skills — comfortable pulling reports or working with spreadsheets to track KPIs and engagement metrics.
• A proactive team player who's happy to roll up their sleeves on the admin work while keeping the bigger picture in view.
• Interest in enterprise software, AI, cloud, or the broader data ecosystem.

#LI-AS1

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

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
  • Dataiku platform architecture and deployment
  • Platform operations and upgrades
  • Best practices for platform usage
  • Security, data management, and compute resources
  • ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Native or bilingual proficiency in German
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out 

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

What does the hiring process look like? #LI-Hybrid #LI-AN1

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Final Interview with the VP Field Engineering

#LI-JR1

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

How you'll make an impact

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!

What you’ll be doing

• Embed with strategic customers to run structured discovery (interviews, async collaboration, or on-site visits) to surface unmet needs before they're obvious to competitors.
• Analyze usage and customer data to identify gaps and opportunities to enhance customer success and to deliver new capabilities with distinct business value propositions, ultimately contributing to the company's financial goals.
• Analyze market forces and competition, engage with industry analysts and Dataiku teams to execute on Dataiku’s product strategy. Collaborate with the Product Marketing team to align and deliver on product positioning messages.
• Build working prototypes (UI mockups, agentic pipeline demos, opportunity memos) to validate hypotheses with customers before engineering commits.
• Synthesize field signals across accounts to distinguish incremental customer requests from genuine innovation opportunities (net new capabilities that would be core additions to the platform.)
• Define and champion innovation initiatives from discovery through to launch, at which point ownership transitions to Technical Product Managers for ongoing improvements and maintenance.
• At launch, partner with Technical Product Managers to produce enablement material for internal customers (Product Marketing and GTM Enablement) ensuring new capabilities and big delighters land with the right positioning, messaging, and field readiness.
• Maintain the product backlog for the initiatives you own, constantly anticipating and aligning with the global product strategy and the software engineering delivery capacity.
• Participate in the development, maintenance and education on the AI/ML roadmap. Articulate your team’s technology vision, requirements, goals and milestones to stakeholders.

What you will NOT be doing

• Managing the full lifecycle of every feature you touch, your focus ends when a capability reaches steady state. You will focus on product discovery and prioritization to maximize value creation and minimize the risk of shipping the right solution to the wrong problem, not on managing maintenance priorities or driving small incremental improvements to existing capabilities.
• Product management focused on feature development, you work closely with your Technical Product Managers (PO) counterparts to ensure the engineering team gets what they need to deliver the capability at the right time, you do not dive into technical analysis.
• Shipping production solutions to customers. You build prototypes and demos to get clarity about the problem customers face or to support compelling roadmap presentations.
• Being evaluated on ARR. Example of success metrics are # of validated opportunities that made it into engineering commit, NPS of sessions with customers, time from discovery to roadmap entry.

What you’ll need to be successful

• 5+ years of experience in a similar role and a demonstrated ability to learn and thrive in front of a diverse audience in a very technical environment
• 3+ years hands-on experience with building AI/ML solutions (e.g. advanced analytics, predictive analytics, GenAI-powered applications)
• Can prototype: Build and demo agentic applications in Dataiku or elsewhere, not just slides. You don't need to be a software engineer, but you produce tangible artifacts that make ideas testable.
• Ability to engage with business leaders and influence decisions
• Proven ability to influence cross-functional teams without formal authority

Business Development Representative — Italy 

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.

How You'll Make An Impact

• Lead Management: Manage a large volume of daily inbound and outbound leads within the Italian territory—connecting via phone, email, and LinkedIn to qualify them.
• Strategic Campaigns: Engage with our Sales and Marketing executives to design, research, and execute outbound vertical and geographical campaigns to grow the sales pipeline in Italy.
• Enterprise Collaboration: Work closely with our Account Executives to prospect and help close large enterprise deals within the Italian "Fortune 500" equivalent.
• Nurture: Educate and nurture early-phase prospects for potential future opportunities.
• Domain Expertise: Demonstrate knowledge of Dataiku and its value proposition to converse with data and business leaders in Italy across industries such as Manufacturing, Banking, Fashion/Retail, and Energy.
• Optimization: Analyze and report on your weekly activities to identify potential optimizations for the Southern EMEA market.

What You'll Need To Be Successful

• Language Mastery: Native-level fluency in Italian (verbal and written) is essential.
• The Multilingual Edge: Proficiency in French and/or Spanish is highly preferred and will be a major asset for collaborating across our South EMEA offices.
• Communication: Strong interpersonal skills and excellent verbal and written communication.
• Experience: Relevant experience and proven success in sales or business development within the software/tech industry or a high-growth startup.
• Organization: Able to demonstrate strong organizational and project management skills.
• Data-Driven: Highly analytical and understand the importance of tracking and reporting on your outreach.
• Curiosity: Deeply interested in innovative topics like Data Science, Predictive Analytics, and Generative AI.

#LI-CM

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

What does the hiring process look like? #LI-Hybrid #LI-AN1

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