Senior Data Engineer

AI-driven retail intelligence platform helping global brands make smart, waste-free decisions through advanced AI and retail expertise.
$114,000 - $127,000
Data
Senior Software Engineer
In-Person
11 - 50 Employees
5+ years of experience
AI · Enterprise SaaS · Retail

Description For Senior Data Engineer

Autone, a London-based AI-driven retail intelligence platform founded in 2021 and backed by Y Combinator & General Catalyst, is transforming retail decision-making through advanced AI technology. We're seeking a Senior Data Engineer to join our product team in our Vauxhall office, working Tuesday to Friday on-site.

As a Senior Data Engineer, you'll be instrumental in building and maintaining our data platform that powers ML/AI innovations. The role demands expertise in Python, SQL, and distributed systems, with experience in pipeline orchestration tools like Dagster. You'll work with a modern tech stack including Kubernetes and Amazon Athena, while having the freedom to explore new technologies.

The ideal candidate brings 5-8 years of engineering experience, preferably with startup exposure, and a strong academic background in Computer Science or related fields. You'll be joining a dynamic environment where you can directly impact the future of retail technology, working alongside founders and talented team members.

We offer a competitive package including a base salary of £90K-£100K and equity options, reflecting our commitment to attracting top talent. Our culture emphasizes collaboration and growth, with regular team events fostering a strong community spirit. The interview process is structured and transparent, including technical assessments, system design discussions, and founder interaction.

This is an exceptional opportunity for a skilled engineer who wants to make a significant impact in retail technology while working with cutting-edge AI solutions. You'll be part of a fast-growing startup that's already trusted by over 50 global brands, helping to revolutionize how retail decisions are made through data-driven insights.

Last updated an hour ago

Responsibilities For Senior Data Engineer

  • Collaborate with the product team to understand requirements and deliver technical solutions
  • Deploy high-performance, scalable data processing pipelines (SQL and ETL)
  • Design and shape the future of data architecture to enhance ML/AI capabilities
  • Write high-quality, reusable, scalable Python code
  • Review and refine code written by colleagues
  • Continuously improve development processes by introducing new tools or technologies

Requirements For Senior Data Engineer

Python
Kubernetes
  • Minimum 2:1 degree in a STEM subject (preferably Computer Science) or equivalent experience
  • 5-8 years of engineering experience, ideally with exposure to early-stage startups
  • Advanced knowledge of Python and SQL
  • Familiarity with pipeline orchestration tools (e.g., Airflow, Dagster)
  • Advanced expertise in writing scalable, distributed Python applications
  • Proven track record in shaping and architecting scalable data solutions
  • Experience building and optimizing big data pipelines, architectures, and datasets
  • Ability to thrive in a dynamic environment and work collaboratively
  • Preference for working in-office

Benefits For Senior Data Engineer

Equity
  • Competitive base salary
  • Stock options
  • Team events
  • Office in Vauxhall

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