Data Engineer I

Dataiku • Germany, Remote; Netherlands, Remote; Spain, Remote; United Kingdom, Remote • 4h ago

Dataiku is looking for a Data Engineer I 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

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