Analytics 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.
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/
About OntoTech
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.
As you would expect from a tech-driven company we’re working across a number of exciting technologies. We’re cloud-based at heart, focussed around AWS. Our back-end technology of choice is Python using the Django framework with our front end written in React with Redux. We also use GraphQL for our APIs. Our apps are native, written in Swift using SwiftUI and Kotlin respectively. We have actively started our journey to break down our monolith into micro-services and expect to continue this in 2022. We’ve initially selected Python and FastAPI to do this.
What you will do
- Design, build, and maintain Onto’s analytical schemas within AWS
- Contribute to tooling and engineering decisions, working with the data engineers to define data requirements
- Find opportunities to optimise data platform infrastructure and processes
- Develop code using agile methodologies while focusing on short-term and long-term technical strategy
- Understand stakeholder needs and the value of data or the business in order to find solutions
- Build and iterate a data platform that enables Onto to provide the absolute best experience for customers by combining a deep understanding customer values and needs
- Create and maintain technical documentation to democratise knowledge of Onto’s data platform
Requirements
What you need
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!
- Experience as an analytics engineer working with data engineers and analysts
- Strong SQL skills and experience using in ETL/ELT processes
- Experience in working with diverse data sets and discovering how they can link within a data ecosystem
- Demonstrated ability to work in a functional team
- Solid communication skills and experience in writing technical documentation
It would be a bonus for you to have:
- Knowledge and experience in AWS tooling
- Python and/or Scala
- Experience (and enjoyment) in mentoring more junior team members
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)
- 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
Tags: Agile APIs AWS Django ELT Engineering ETL GraphQL Python React Scala SQL
Perks/benefits: Career development Competitive pay Equity Salary bonus Startup environment Travel
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