Senior Data Engineer
London, England, United Kingdom
Applications have closed
Onto
Onto is an electric car subscription service that is more flexible than leasing. Electric cars available with insurance, charging & maintenance. Switch to Onto today!About Onto
Onto is Europe's largest electric car subscription service, growing at over 20% month on month, with over 5,500 subscribers today, we’re looking to at least double our customers in 2022. We are a high-growth tech scale-up, having launched 4 years ago with significant funding from top-tier VCs, most recently raising £125 million of equity and debt in July 2021 through a Series B funding round. Our team has grown dramatically, with offices in London and Leamington and with overseas expansion planned for 2022.
We’re an open and collaborative bunch who care deeply about creating an amazing team for each and every person to work in. We understand the best way to create a product that our customers love is to create a team in which people love working.
By joining us now you’ll be joining at an early stage in our growth. Your role will truly be impactful to our customers each and every day. You’ll also get to work with us as we scale our platform and solve the technical puzzles this will entail.
Journey over to our website to find out more: https://on.to/
Requirements
What you will do
- Contribute to design and implementation of Onto’s data platform using AWS infrastructure
- Find opportunities to optimise Onto’s ingestion pipelines, Onto’s ever-growing S3 data lake, and automated CI/CD with Terraform
- Develop code using agile methodologies
- Understand stakeholder needs and the efficient way to find solutions that add value to the business
- Build and iterate a data platform that enables Onto to provide a strong experience for customers by combining an understanding of customer values and needs
- Create and maintain technical documentation of knowledge surrounding Onto’s data platform
Who you are
If you don’t feel you meet every single one of the bullet points please still apply as we’d love to hear about the experience you do have!
For this role, you ideally you will to have:
- Experience with AWS
- Experience using Python and/or Scala for data pipelines
- Experience working with diverse data sets and discovering how they can link within a data ecosystem
- Experience with building reliable and scalable data pipelines and solutions
- Someone who enjoys solving problems around big data processing and implementing solutions
- Someone who values collaborating in a team through proactive feedback
It would be a bonus for you to have:
- Knowledge and experience in Spark and other distributed processing tools
- Experience with AWS
- Experience with SQL
Benefits
As well as a competitive salary we provide a number of other benefits including:
- Onto discounted car (via Salary Sacrifice) - become a customer and join the EV revolution
- Staff options scheme - everybody qualifies for this, we are building something incredible and want all our staff to feel valued and part of the future success.
- Pension contribution
- 25 days holiday (excluding bank holidays)
- Wellbeing Days
- A fun and social office environment with the flexibility to work from home
- Annual Learning budget to invest in your own growth & development
- Summer and Christmas Party
- Quarterly get togethers and team building (digitally at times)
- Team social budget to spend as you see best, as long as it is together!
- Small milestone gifts (Birthdays, Life Milestones, Work Milestones)
- Reward and Recognition monthly and every quarter for employees
- Discounts on retail, travel and cinema tickets through perks at work
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Big Data CI/CD Data pipelines Pipelines Python Scala Spark SQL Terraform
Perks/benefits: Career development Competitive pay Equity Salary bonus Travel
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