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Job Description
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 II 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, AI, 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, Generative AI engineering, embedded analytics teams, and self-service users across the organization.
You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. 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. Strong software development lifecycle knowledge and DataOps skills are a must. 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! Your responsibilities within the team include but are not limited to:
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Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting
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Be an expert level engineer within Snowflake for data engineering and security/governance features
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Build & maintain python & SQL based platform automation process
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Build & maintain data quality metrics & observability to help drive data quality standards
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Design data models for both short term and long term use cases to support data warehouse scalability
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Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
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Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery
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Build & maintain DataOps process for SDLC delivery
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Identify opportunities for improvements & optimization for greater scalability & delivery velocity
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Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables
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Perform root cause analysis on often complex errors to help ensure data pipeline availability
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Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.
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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
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Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering
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Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.
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Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices.
Requirements :
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3+ years of relevant experience in Data Engineering / Data Platform Engineering
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Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus.
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Prior experience with Snowflake strongly desired
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Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins
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Strong understanding of data architecture & data modeling concepts
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Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment
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Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.
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Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies
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Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements
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Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment
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Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same
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AI Stack
Skills Required
RAG
Generative AI
Data Engineering
Data + AI
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