Dataiku is looking for a Data Engineer I to join their 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.

About the Position

Introduction

Dataiku is seeking a Data Engineer I to join their Enterprise Data and Analytics (EDA) team. This role is crucial for delivering data to various stakeholders for analytics and data-driven insights. You will contribute to a data platform that supports centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users.

The role is split between 50% Data Operations, Support & Troubleshooting, and 50% new development, primarily within a data platform built on Snowflake, Dataiku, and GitHub. Development will focus on Python, SQL, DataOps processes (GitHub Actions & Dataiku), and platform processes (Snowflake & Dataiku). Strong non-technical skills, curiosity, communication, and a collaborative mindset are highly valued. This is an internal, non-client-facing position.

Responsibilities

Develop engineering expertise within the Dataiku Platform for system integrations, platform automations, and configurations.
Develop engineering expertise within Snowflake for data engineering, security, and governance features.
Build and maintain Python and SQL data replication and data pipelines for large, complex datasets.
Build and maintain data quality metrics and observability to ensure high data quality standards.
Learn existing data platform, data engineering, and data governance systems and processes.
Troubleshoot data pipelines, platform automations, and data access systems.
Address community questions and challenges.
Own, maintain, and enhance data operation processes, monitoring, and data quality systems.
Design scalable data models for both short-term and long-term use cases.
Build and maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end-user transparency.
Identify opportunities for improvements and optimization to enhance scalability and delivery velocity.
Collaborate with Analytics Engineers to provide data and data models for analytical deliverables.
Perform root cause analysis on complex errors to ensure data pipeline availability.
Test new features in Dataiku and partner tools, providing internal feedback and assessing value for analytics and platform integration.
Work closely with stakeholders across Infra, embedded analytics teams, Product, and Engineering for technical implementations and requirements gathering.
Proactively drive innovation with ideas for platform and process improvements.
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 and Python are essential.
Experience in building data models.
Prior experience building and maintaining replication and data pipelines in a cloud data warehouse or data lake environment.
Excellent analytical and creative problem-solving skills; confidence to ask questions, share ideas, and challenge the norm.
Passion for continuous learning and teaching new technologies and implementation strategies.
Experience working with complex stakeholders, dissecting vague requests, and defining tangible requirements.
Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment.
Ability to adapt to different project roles with a focus on achieving goals and inspiring colleagues.
Excellent written and verbal communication skills (especially with senior-level stakeholders), capable of discussing business value, data products, and technical capabilities. Ability to create clear and concise documentation with high precision.

Nice to Have

Experience in Dataiku DSS is a big plus.
Prior experience with Snowflake.
Prior experience with DevOps technologies such as GitHub Actions, Azure DevOps, or Jenkins.