Data Engineer, Dataiku
$140-175k
Salary applicable to US applicants only. + Stock options
More information about location
Dataiku is The Universal AI Platform™
Job no longer available
Dataiku is The Universal AI Platform™
1001+ employees
Job no longer available
$140-175k
Salary applicable to US applicants only. + Stock options
More information about location
1001+ employees
Company mission
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.
Role
Who you are
- 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
- 3-4 years' of relevant experience in Data Engineering / Data Platform Engineering /Data Architecture
- 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
- Location: Must be currently located within the EST or CST regions of the United States. Open for candidates based in the UK, if they have the right skillset
Desirable
- 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 the job involves
- Dataiku is looking for Data 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 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, 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 Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku & Github
- The primary development will focus on python & SQL (among other languages), DataOps processes built within Github Actions & Dataiku, and data platform processes built within Snowflake & Dataiku
- 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!
- This is an internal and non-client facing role
- Be an expert level engineer within the Dataiku Platform
- Be an expert level engineer 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
- 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 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
- 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
Our take
Dataiku was founded on the principle that companies must use data to continuously innovate to succeed in a rapidly evolving ecosystem. As a centralised data platform, Dataiku guides businesses from analytics at scale to enterprise AI. It provides a common ground for data experts and explorers, offering best practices, shortcuts to AI deployment, and a controlled environment.
Customers like Unilever, GE, and Comcast use Dataiku to accelerate growth and innovation by removing roadblocks and enabling faster, smarter work. Despite substantial funding in 2023, Dataiku faced a 20% lower valuation than in 2021, indicating challenges even for successful tech firms. Nonetheless, Dataiku launched its Dataiku 11 platform in 2022, continuing to enhance its offerings.
In 2024, Dataiku announced a strategic alliance with Teragonia, a leading provider of AI solutions for private equity portfolio value creation. This collaboration leverages Dataiku's AI capabilities to enhance Teragonia's real-time analytics and strategic agility, aiming to accelerate revenue growth and profitability for clients. This partnership reflects Teragonia's trust in Dataiku's technology and underscores the platform's ability to democratise data and empower private equity firms to unlock significant value.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $847.3m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ For most teams, a hybrid work policy, which allows each Dataiker to spend as few as one and as many as five days a week in the office. ➔ A work from almost anywhere policy that allows employees to work from their place of choice up to four weeks per year.
- Family benefits: ➔ 12 weeks of paid parental leave within the first year of birth/adoption
- Building and supporting our community is at the heart of our values. We've developed our Ikigai.AI program (AI for good) to support the community and encourage our employees to give back to the causes they care about. We offer: ➔ Volunteering opportunities coordinated by our social responsibility team ➔ Additional paid time off to volunteer
- ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
- ➔ We regularly organise office happy hours in offices and virtual
Company HQ
125 West 25th Street, 7th Floor, New York, NY 10001, USA
Leadership
Clément Stenac
(CTO)Previously worked at Exalead for 6 years, first as Software engineer for 3 years and then as Software Architect and Manager also for 3 years.
Florian Douetteau
(CEO)Previously worked at Exalead for 11 years, holding various positions such as Director - Advanced Development, VP - Research and Technology and VP - Product Management.
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