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DataikuDA

Senior Data Platform Engineer

Dataiku is the platform for Everyday AI, enabling data experts and domain experts to work together to build data into their daily operations, from advanced analytics to Generative AI.

Dataiku

Employee count: 1001-5000

GB and US only

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.

Context:

Dataiku is looking for a Sr. Data Platform 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 GenAI solutions to fuel analytics and data-driven insights to various stakeholders and teams within the company.

You will be a key technical member contributing to the Data Platform that fuels centralized analytics, embedded analytics teams, and self-service users across the organization. At this level of seniority, non-technical skills, learning teaching, and business acumen are critical, along with the expectation of technical excellence as you will help drive technical decision-making and solutioning of key technical challenges both within the team and across the Analytics Community. The technical day to day will primarily be within the Data Platform built using Snowflake, Dataiku Github.

The primary development will focus on GenAI Platform Capabilities, python SQL (among other languages), DataOps processes built within Github Actions Dataiku, and data platform processes built within Snowflake Dataiku. 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. We are looking for a strong technical engineer to help us to continue to build out our Data Platform internally. GenAI engineering is growing internally, which brings a unique opportunity to help build out a Data Platform for GenAI engineering, along with delivering a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! This role will also play a key part in delivering GenAI architecture guidance to our stakeholders. Your 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 GenAI Platform solutions focused on security and governance for engineering delivery
  • Build maintain Python SQL based platform automation process
  • Build maintain DataOps process for SDLC delivery
  • Build maintain data quality metrics observability to help drive data quality standards
  • Build maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency
  • Assist Data Engineering with building python SQL data replication data pipelines on large often complex data sets
  • Design data models for both short term and long term use cases to support data warehouse scalability
  • Identify opportunities for improvements optimization for greater scalability delivery velocity
  • Collaborate with engineers within GenAI Engineering Analytics Engineering to build scalable solutions within the Data Platform
  • 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 and 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
  • Promote the Data Platform internally, help train mentor others within the organization with technical excellence, provide support on data platform related inquiries
  • 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 :

  • Experience a strong understanding of GenAI development, security governance concepts a must
  • 5+ years of relevant experience in Data Engineering / Data Platform Engineering /Data Architecture
  • Expert level SQL Python is a must.
  • Experience in Dataiku DSS is a strong plus.
  • Prior experience with Snowflake required
  • 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
  • Strong analytical mindset; proactively clarifies ambiguous problems, challenges assumptions, and proposes pragmatic solutions.
  • Works effectively with complex stakeholders, translating vague asks into clear, testable requirements.
  • Excellent written and verbal communication with senior audiences; articulates business value, data products, and platform capabilities; produces precise, concise documentation.
  • Demonstrated ownership in remote, fast-paced environments: manages multiple projects, adapts to different roles, mentors peers, and invests in continuous learning knowledge-sharing.

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: reasonable-accommodations@dataiku.com
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.

About the job

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Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United Kingdom +/- 0 hours, and 1 other timezone

About Dataiku

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Dataiku is the platform for Everyday AI, designed to empower organizations by enabling everyone — from data scientists and engineers to business analysts and domain experts — to contribute to and benefit from the power of artificial intelligence. Many customers face the challenge of operationalizing AI at scale and embedding data-driven decision-making into their daily workflows. Dataiku addresses this by providing a centralized, collaborative platform that streamlines the entire data-to-insights lifecycle. This includes data preparation, model development, deployment, and ongoing management and governance. The goal is to help companies transform their business outcomes by making AI an integral part of their operations, rather than a siloed, specialist function. Our customers trust us because we understand the complexities of their organizations and provide a flexible, robust solution that adapts to their existing infrastructure and diverse skill sets.

Founded on the principle that to succeed in a rapidly evolving global ecosystem, companies must elevate their people to continuously innovate, Dataiku has been a leader in democratizing data and fostering organization-wide collaboration since 2013. We support a wide array of use cases, from fraud detection and customer churn prevention to predictive maintenance, supply chain optimization, and the development of Generative AI applications. By offering a platform that caters to both technical and non-technical users, Dataiku helps break down silos, encouraging a human-centric approach to AI. This ensures that businesses can not only build powerful AI solutions but also deploy them responsibly and effectively, driving tangible value and fostering a culture of data literacy and innovation across all departments. Our commitment is to help organizations harness their data to make better decisions daily, ultimately powering their future success.

Employee benefits

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401(K)

401(K) plan available.

Commuter benefits

Commuter benefits offered.

Performance bonus

Performance bonus offered.

Unlimited Sick Days

Dataiku offers unlimited sick days.

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Dataiku

Company size

1001-5000 employees

Founded in

2013

Chief executive officer

Florian Douetteau, Clément Sténac

Employees live in

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Dataiku hiring Senior Data Platform Engineer • Remote (Work from Home) | Himalayas