Data Engineer, Daydream

Salary not provided

Equity available

GCP
Azure
Senior and Expert level
Remote from US
Daydream

AI-powered search & discovery

Job no longer available

Daydream

AI-powered search & discovery

21-100 employees

B2CArtificial IntelligenceMarketplaceFashioneCommerce

Job no longer available

Salary not provided

Equity available

GCP
Azure
Senior and Expert level
Remote from US

21-100 employees

B2CArtificial IntelligenceMarketplaceFashioneCommerce

Company mission

To usher in the new era of shopping.

Role

Who you are

  • Seasoned Data Engineer: You have a deep understanding of data engineering principles and practices, with at least 8 years of relevant experience, including leadership roles
  • Technical Expert: Proficient in modern data engineering technologies and architectures, with the ability to design and implement systems at scale
  • Production Pipeline Owner: Experienced in supporting production data pipelines and managing outage protocols to ensure minimal downtime and robust recovery strategies
  • Strategic Thinker: Capable of setting technical and business goals and leading projects to successful completion
  • Collaborative Team Player: Excellent at working across teams and communicating complex ideas clearly and effectively
  • Innovator: You thrive on challenges and are driven to apply state-of-the-art data engineering solutions to real-world problems

Desirable

  • Published Research: You have contributed to the field with published research in areas relevant to data engineering, big data, or related fields
  • Cloud Expertise: Experienced with cloud platforms and technologies such as GCP or Azure, particularly in deploying large-scale data solutions
  • Ecommerce Experience: Familiarity with the ecommerce sector, understanding its unique data challenges and opportunities to drive innovation
  • Data Privacy and Ethics: You have a background in data privacy and ethics, with experience implementing practices that ensure data security and ethical usage
  • Advanced Data Handling: Proficiency in handling large-scale datasets, including experience with technologies
  • Leadership Experience: Previous leadership roles where you have directly managed teams or led major projects within a technology-driven environment
  • Industry Knowledge: Understanding of the retail industry’s challenges and opportunities, particularly how data can drive transformation
  • Real-time Systems: Expertise in building and maintaining real-time, responsive data systems
  • Contributions to Open Source: Active involvement in open source projects, especially those related to data engineering, demonstrating community engagement and ongoing learning

What the job involves

  • As a Staff Data Engineer at Daydream, you will lead our data engineering discipline, driving the development of scalable and robust data systems
  • This senior role is critical for advancing our data infrastructure to support our AI-driven solutions that significantly enhance the shopping experience for millions of users globally
  • You will be responsible for shaping the strategic direction of our data systems, ensuring they are innovative, scalable, and aligned with our core values of responsible data usage
  • Additionally, you will lead and mentor a team of data engineers, fostering a culture of continuous learning and improvement
  • Lead Data Engineering Efforts: Architect and lead the development of sophisticated data systems and pipelines that ensure the seamless flow of data across our platforms
  • Scalability and Reliability: Ensure these data systems are scalable, reliable, and maintainable, supporting our growing user base and expanding product offerings
  • Strategic Data Management: Develop and implement data management strategies that align with Daydream’s business objectives and support our AI and machine learning initiatives
  • Cross-Functional Collaboration: Work closely with an interdisciplinary team of engineers, data scientists, product managers, and designers to create seamless data-driven features
  • Innovation and Best Practices: Promote a culture of innovation and best practices in data engineering, mentoring team members and fostering an environment where diverse ideas are celebrated and operational excellence is achieved

Share this job

Company

Company benefits

  • Unlimited PTO
  • The opportunity to be part of a groundbreaking, AI-focused company
  • Collaborative work environment with a team of talented, fun-loving individuals
  • Opportunity to learn and grow in your career

Funding (1 round)

Jun 2024

$50m

SEED

Total funding: $50m

Our take

Daydream leverages generative AI, machine learning and computer vision to enhance the end-to-end shopping journey. Launching in beta this fall, it will feature an extensive fashion catalogue that offers a superhuman search engine to help users effortlessly discover fashion.

Aiming to address the inefficiencies of traditional online shopping, the platform provides an intuitive experience that caters to individuals' preferences. Unlike existing platforms, Daydream is built from scratch to maximize the benefits of AI, ensuring users can find the products they love quickly and easily.

Recent funding will allow Daydream to refine its AI capabilities and grow its brand partnerships. With a team of seasoned industry professionals, the platform is poised to redefine online shopping, offering a cutting-edge solution that meets the evolving needs of modern customers.

Kirsty headshot

Kirsty

Company Specialist at Welcome to the Jungle