Hybrid Software Engineer - Platform Software Engineer - Platform with verification
Dataiku · nan, · Hybrid
About the job
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
Why Engineering at Dataiku?
Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.
How You’ll Make An Impact
(Note: this is a Software Engineer position. We have separate positions open for Cloud Engineers, SRE or Infrastructure engineers)
As enterprises worldwide increasingly invest in the cloud, Dataiku is expanding its services and offerings to meet rapidly evolving customer needs. Dataiku combines large-scale data analytics and AI technologies into a unique, easy-to-use platform that empowers data scientists to work with SQL databases, Spark, and Kubernetes through intuitive visual interfaces or code.
To support this mission, we are seeking a talented full-stack software engineer to work on the data analytics capabilities of Dataiku and other core platform features. You will play a key role in enhancing the performance, scalability, and security of our platform, enabling seamless integration with various data sources and computing engines like Snowflake, Databricks, BigQuery, Spark, and Kubernetes. Additionally, you’ll help system administrators deploy and manage Dataiku DSS on cloud platforms using industry best practices, delivering a world-class experience for both coders and non-coders alike.
Our current technical stack is based on a mix of Java, Python, Angular, Kubernetes, AWS, Azure, GCP, Spark, Elasticsearch
This position is either onsite from Paris, London, Berlin and Amsterdam, or remote from any of these countries.
Some Expected Outcomes For This Role
What You Need To Be Successful
What does the hiring process look like?
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]
