Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailAbout us
autone is reimagining the future of retail with cuttingedge AIdriven intelligence empowering brands to make smart wastefree decisions that drive growth and efficiency. Trusted by over 50 global brands we blend advanced AI and deep retail expertise to unlock seamless collaboration between supply chains and human insight. The result Reduced inventory waste boosted sales and precise forecasting that saves money and enhances operations all while empowering teams to focus on what they do best.
Founded in London in 2021 and backed by industry giants like Y Combinator & General Catalyst autone is moving fast to transform retail as we know it. Join us on this journey to a smarter more agile future.
A career with autone is an opportunity to work with some of the best and brightest minds disrupting the retail industry for a better future. We favour inoffice work Tuesday to Friday in our Vauxhall office. Were obviously flexible and considerate about it but if you prefer working from home on a fulltime basis this might not be the best gig for you.
And Now to You!
Were on the hunt for a passionate and experienced engineer to join our growing product team and help us build the backbone of smarter retail decisions. As a data engineer youll play a pivotal role in designing and maintaining a performant scalable and reliable data platform enabling cuttingedge machine learning and AI innovations.
If youre driven by solving complex challenges thrive in collaborative environments and want to make a tangible impact at an earlystage startup wed love to meet you.
Your Responsibilities
Collaborate with the product team to understand requirements and deliver technical solutions.
Deploy highperformance scalable data processing pipelines (SQL and ETL).
Design and shape the future of our data architecture to enhance ML/AI capabilities.
Write highquality reusable scalable Python using your software engineering expertise.
Review and refine code written by colleagues.
Continuously improve development processes by introducing new tools or technologies.
What Were Looking For
A minimum 2:1 degree in a STEM subject (preferably Computer Science) or equivalent experience.
58 years of engineering experience ideally with exposure to earlystage startups.
Advanced knowledge of Python and SQL.
Familiarity with pipeline orchestration tools (e.g. Airflow Dagster).
Advanced expertise in writing scalable distributed Python applications (e.g. Ray PySpark Dask).
A 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 with crossfunctional teams.
A preference for working inoffice.
Our Tech Stack
Languages & Tools: Python SQL Dagster Docker Kubernetes.
Cloud Infrastructure: Kubernetes Amazon Athena.
Data Modelling: dbt.
While this is our current stack were always open to exploring new technologies that can elevate our workflow.
Why Youll Love Joining autone
High Impact Role: Shape the future of retail technology at an earlystage startup and work directly with the founders.
Modern Tech Stack: Get handson experience with an agile and innovative tech stack and the freedom to experiment with new tools.
Career Growth: Meritocratic and resultsdriven opportunities to grow and advance.
Fun & Team Spirit: Fortnightly team events from games nights to sporting events or a casual trip to the pub.
Compensation
We believe in rewarding talent with a competitive and fair compensation package which includes:
Base Salary: A highly competitive base salary aligned with your experience and the market.
Stock Options: Share in autones success with stock options giving you a stake in the companys growth.
The Interview Process
We value transparency in our hiring process and want you to feel prepared at every step. Heres what to expect:
Stage 1: Work Experience and SQL
A live coding session focused on SQL. Be ready to design schemas and write queries in real time.
A discussion on your previous technical experience
Stage 2: System Design and Technical Skills Interview
A discussion of your previous experience paired with a collaborative session on highlevel system design concepts.
Stage 3: Meet our CTPO
An opportunity to connect with our Chief Technology & Product Officer learn more about autones vision and discuss how your goals align with ours.
Apply now
Were excited to hear from you.
If you have any questions dont hesitate to reach out to us at
Required Experience:
Senior IC
Full-Time