Data Engineer

Dataiku is the platform for AI success, an enterprise orchestration layer that enables teams to design, operate, and govern analytics, machine learning, and AI agents in a single environment. It sits above data platforms, cloud infrastructure, and AI services, connecting the full AI stack and empowering organizations to run AI across multi-vendor environments with centralized governance.

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 that fuels analytics and data-driven insights for various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that powers centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization. This role is split 50% Data Operations, Support & Troubleshooting and 50% new development. The day-to-day data engineering work focuses on the data platform built using Snowflake, Dataiku, and GitHub. Primary development will involve 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 many technical domains.

The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude toward work, and thrives in collaborative, goal-oriented environments.

• 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, 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, and data access systems.
• Help field and troubleshoot various community questions and challenges.
• Own, maintain and enhance data operation processes, monitoring & data quality systems.
• Design data models for 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 complex errors to help ensure data pipeline availability.
• Help test new features in Dataiku and partner tools to provide internal feedback and determine value toward internal analytics & data platform integration.
• Work closely with key stakeholders across the organization, including Infra, embedded analytics teams, Product and Engineering, to foster technical implementations & requirements gathering.
• Proactively drive innovation internally by 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 – confident at asking questions, sharing ideas, and challenging assumptions.
• Passion for continuous learning and teaching to help others learn new technologies and 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, focusing on accomplishing end goals while inspiring colleagues to do the same.
• Excellent written and verbal communication skills (especially with senior-level stakeholders); ability to articulate business value, data products, and technical capabilities of a platform.
• Ability to create clear, concise documentation with a high degree of precision.

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 that 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 reasonable-accommodations@dataiku.com.

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