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Fullstack Software Engineer - Core

3 hours, 46 minutes ago
France
Full-time
Mid Level
Full-stack Engineer
Software Development
Angular Apache Spark AWS Azure Docker GCP Java Kubernetes Machine Learning MLOps Node.js PostgreSQL Python PyTorch React Scikit-learn Spring SQL TensorFlow
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Dataiku

Dataiku

Dataiku develops a collaborative data science software platform that empowers teams to explore, prototype, build, and deliver data products, facilitating the transformation of business data into impactful insights through Everyday AI.

Internet Software & Services
251-1K
Founded 2013
$847M raised
View All Jobs 9

Description

  • Build core product features within one of several areas, including data preparation, AI and machine learning, data consumption, data visualization, MLOps, platform, or AI governance.
  • Develop tools for data integration, transformation, cataloging, notebooks, SQL workbenches, and APIs.
  • Add LLM-enabled capabilities for data integration, transformation, visualization, and business insight workflows.
  • Optimize workflows for large-scale datasets and improve database support and processing performance.
  • Build and enhance next-generation AI and machine learning features, including model integrations and LLM APIs.
  • Collaborate with research and engineering teams on machine learning experiments and product development.
  • Enhance collaborative workspaces and interfaces that help users organize, explore, and act on data.
  • Develop high-performance charting, dashboarding, and visualization features.
  • Build backend automation for ML model retraining, monitoring, deployment, and stakeholder collaboration.
  • Expand platform scalability, security, cloud integrations, and support for new data sources and engines.

Requirements

  • Significant experience in software engineering building a real product.
  • Hiring is open to junior, mid, and senior levels.
  • Strong interest in combining backend performance with exceptional frontend user experience.
  • Willingness to work in a fast-paced, high-growth environment with engineering challenges at scale.
  • Experience with the technologies used in the team’s stack is relevant, including Java, Python, AngularJS, Angular, React, Node.js, Spring, D3.js, ECharts, Kubernetes, Docker, Spark, PostgreSQL, AWS, Azure, and GCP.
  • Background in data science, machine learning, or AI-related technologies is relevant for some teams, including scikit-learn, TensorFlow, and PyTorch.
  • Ability to work onsite/hybrid from Paris or fully remote anywhere in France.

Benefits

  • Onsite/hybrid work from the Paris office or fully remote work anywhere in France.
  • Opportunity to work on enterprise AI, analytics, machine learning, and governance products used by leading companies.
  • Exposure to a broad, modern technology stack and open source-oriented engineering environment.
  • Work on high-impact engineering challenges at scale in a fast-growing company.
  • Inclusive, equal opportunity workplace with accommodation support available.
  • Recruitment process includes technical recruiting, engineering interviews, a technical assessment, and final leadership interviews.

Interested in this position?

Apply directly on the company website

Apply Now

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