Software Engineer, Dataiku
Data Platform
Collaborative data science platform
Job no longer available
Collaborative data science platform
1001+ employees
Job no longer available
1001+ employees
Company mission
To enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more.
Role
Who you are
- You have experience in software development and are interested in data processing
- You are "customer-oriented" you want to understand how the product is used and solve actual customer problems
- You know, Data science is 80% preparing data and 20% complaining about preparing data
- You are curious about working 'under the hood' and want to learn how things are built
- You have firsthand experience (either professional or personal) in building a real product
- You are humble and kind
- You don't hesitate to ask questions when you don't know, and treat your colleagues with respect, kindness, and honesty
What the job involves
- To help us fulfill this mission, we are looking for a talented full-stack software engineer to work on the Data analytics part of Dataiku and other core features of the platform
- The mission of the Self-service Analytics teams is to maintain and improve the core features of Dataiku that are dedicated to Business Analysts & Developers
- Data integration: this includes reading from and writing to Snowflake, BigQuery, Redshift, Azure Synapse, flat files on S3 (CSV, Parquet, Excel, …)
- Data preparation & transformation through graphical UI, code or ChatGPT-like inputs, using the latest processing engines: Spark on K8s, SQL with UDFs, Snowpark, etc
- Data catalog with automated quality assessment
- Jupyter notebooks & SQL workbench
- Help and onboarding experience
- Automation & public REST APIs
- Add new ways to clean up data using Large Language Models such as ChatGPT
- Optimize our layout engine to be able to render complex workflows of 1000 datasets faster
- Support new databases capabilities to read/write or process data faster
- Improve our help system to make it smarter
- Strengthen our git support, including automatic and graphical merge conflicts resolutions
- Add autocomplete to our SQL workbench supporting a wide range of databases
Application process
- Initial call with a member of our Technical Recruiting team
- Video call with an Engineering Team Lead
- Technical Assessment to show your skills (Home Test or Live Coding)
- Debrief of your Tech Assessment with Engineering Team member
- Final Interview with a VP Engineering
Otta's take
Xav Kearney
CTO of Otta
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.
Insights
Some candidates hear
back within 2 weeks
39% female employees
9% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Dec 2022
$200m
SERIES F
Aug 2021
$400m
SERIES E
Total funding: $846.2m
Company benefits
- Our flexibility benefits include: ➔ Time off for R&R & Wedding time off ➔ Public holidays specific to your location ➔ A policy, unique to each team, that clarifies the status of each Dataiker based on preferred working styles: Office, Flex, SuperFlex, and Remote ➔ A work from 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. Weʼve 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
- Oppurtunities to grow: ➔ Attend weekly universities with internal and external speakers ➔ Grow their expertise with our dedicated sales, tech, and management enablement programs
- ➔ Weʼre one team, all shareholders. We offer equity to all employees
- ➔ Onsite meals and healthy snacks
- ➔ Technology stipend for WFH such as mobile, internet, and equipment reimbursement
- ➔ We regularly organise office happy hours in offices and virtual
Company values
- Diversity of People and Perspective - We mix people and perspectives to shape the future of data and AI in a responsible way
- Tolerance & Open-Mindedness - We embrace differences and new ideas and fight against racism and bias
- Accountable Camaraderie - We think, act, and celebrate as a team, trusting and supporting each other regardless of function
- Work-Life Balance - We respect each person’s way of finding balance, providing flexibility and counting progress, not hours
- Dedication To Learning - We geek out with new technologies, learn from others everyday, and grow ourselves by helping others grow
- Conscious Long-Term Responsibility - We strive to maximize our positive impact on the world - through our products and beyond, for today and tomorrow.
Company HQ
Flatiron District, New York, NY
Founders
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
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Diversity & Inclusion at Dataiku
Laurie du Boullay (Head of Culture)
- Building AI that benefits everyone starts with diversity and inclusion in the office. We believe that a blend of experiences and perspectives creates the best performing teams and enables us to build software shaping the future of data & AI in a way which is fair and diverse, for people and the planet.
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