Data Engineer II

responsibilities within

the team include but are not limited to: Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting Be an expert level engineer within Snowflake for data engineering and security/governance features Build & maintain python & SQL based platform automation process Build & maintain data quality metrics & observability to help drive data quality standards 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 Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery Build & maintain DataOps process for SDLC delivery 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 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. 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 dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole. 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 : 3+ years of relevant experience in Data Engineering / Data Platform Engineering Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. Prior experience with Snowflake strongly desired Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins Strong understanding of data architecture & data modeling concepts 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 What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page . 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 which 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: [email protected] Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here. Create a Job Alert Interested in building your career at Dataiku? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill with MyGreenhouse First Name * Last Name * Preferred First Name Email * Phone Country * Phone * Location (City) * Locate me Resume/CV * Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you currently located in the United Kingdom, Germany, Spain, the Netherlands, or within the US Eastern or Central time zones? * Select... When would you be available to start? * What are your salary expectations? * Would you require a visa sponsorship or visa transfer for this opportunity? * Select... How long have you been working with Python & SQL (studies excluded)? * Select... What best describes your hands-on professional experience with Snowflake? * Select... Please describe your relevant experience/skills for this particular position * Current Company LinkedIn URL Github URL Demographic Questionnaire (Non USA locations) We invite you to complete this optional survey to help us evaluate our diversity and inclusion efforts. Submission of the information on this form is strictly voluntary and refusal to provide it will not subject you to any adverse treatment or affect your job application. Information obtained will be kept separate from your name or job application. This information will be kept secure and confidential and will be used solely to evaluate our diversity and inclusion efforts. Gender * Select... Submit application Powered by Greenhouse

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