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- Tasks: Design and build data systems that revolutionise the automotive industry.
- Company: Join Carpata, a seed-stage tech company transforming automotive data.
- Benefits: Competitive salary, equity options, and a chance to shape the future.
- Why this job: Make a real impact in a $2 trillion industry with your coding skills.
- Qualifications: Strong programming skills in Python or TypeScript and a passion for data accuracy.
- Other info: Collaborative culture with opportunities for rapid career growth.
The predicted salary is between 51000 - 73000 £ per year.
Build the Data Infrastructure That Powers the Automotive Industry
About Us
At Carpata, our vision is to build the vehicle and parts data infrastructure that powers the automation of the entire automotive aftersales industry. We are working with garages, dealerships, manufacturers, parts suppliers, and insurance companies across the ecosystem. We are looking for a talented, customer-focused engineer who holds exceptionally high standards for accuracy, approaches challenges creatively, and obsesses over automation because automotive data is always evolving.
This is a unique opportunity to join a seed-stage company founded by experienced entrepreneurs who have built and exited automotive tech businesses. Backed by Concept Ventures, Nosara Capital, and angels from UK automotive tech leaders, we have big ambitions to drive change.
We are building a world-class team where you will solve a huge pain point felt by millions across the globe in a +$2 trillion industry and do the most impactful work of your career. Join us in building the future of B2B parts.
Industry-wide Problems We Are Solving
- Eliminating Manual Parts Procurement: We are eliminating time-consuming part lookups and quote creation for automotive businesses, enabling them to order the right parts, first time, confidently.
- Workflow Automation: Dealership health checks automatically generate accurate service recommendations, enabling fleet operators to procure parts across hundreds of vehicles without manual cross-referencing.
- Democratising Parts Knowledge: Complex vehicle specifications and inconsistent supplier data become invisible to end users through a single, authoritative platform that anyone can use reliably.
What You Will Do
You will design and build the core systems that power our platform - from parts validation pipelines and data normalisation tools to catalogue infrastructure and supplier integrations. Working closely with our lead engineer, automotive experts, and founders, you will play a key role in how our platform ingests, resolves, and surfaces complex automotive data. You will contribute across the stack where needed but bring a backend or data-engineering mindset to solving messy, high-impact problems.
What We Are Looking For
Must-Haves:
- Data Expertise with High Standards
- Strong experience cleaning and normalising data from multiple sources
- Obsession with accuracy and data quality
- Experience resolving conflicts between technically correct but differently structured datasets
- Automation Mindset
- Experience designing processes that adapt to changing data sources and formats
- Vision for building systems that continuously learn and improve accuracy through real-world usage
The Right Engineering Approach:
- Run at the Hard Stuff: You volunteer for complex data challenges others avoid.
- Show the Numbers: Every decision backed by evidence.
- Build Fast. Learn Loud: Ship the minimum that proves the point, get it in front of real users, then iterate based on what breaks.
Technical Foundation:
- Strong programming skills (we work primarily in Python and TypeScript)
- Experience with database design, schema evolution, and query optimisation
- Understanding of cloud platforms and scalable infrastructure
Startup DNA:
- You have thrived in environments where you define the approach to unsolved problems.
- You take ownership of our customer outcomes, not just your outputs.
Nice-to-Haves:
- Experience in automotive, complex B2B domains or industries with high SKU complexity
- Background with data integration challenges in marketplace or e-commerce platforms
- Previous experience at a fast-growing startup
- Demonstrable interest in cars (bonus, but not essential)
This Role Is NOT For You If...
- You need problems fully defined before starting work.
- You prefer perfecting systems over shipping solutions that customers depend on.
- You think "good enough" is acceptable when our customers demand high accuracy.
- You want to work in isolation rather than as part of a collaborative team.
- You dismiss feedback that challenges assumptions.
Why This Role Will Define Your Career:
- Infrastructure Impact: Your work will become the foundation that thousands of automotive businesses rely on daily.
- Technical Ownership: You will have significant influence on our data architecture, methodology, and engineering culture.
- Mission-Driven Culture: Join a team where precision and quality aren’t just values - they’re how we operate.
- Backed for Scale: With funding from leading investors and industry experts, we have the runway to build transformational infrastructure.
- Learn from Proven Operators: Work alongside founders with multiple successful exits.
£60-85k + up to 1% equity (early employee)
Visa: We cannot sponsor visas at this time.
Start: Immediate availability preferred.
Hiring Process:
- Intro call with the CTO about the company, role and your background.
- Technical take-home task.
- Problem-solving session with our Lead Engineer focused on your solution to the take-home task, plus meeting the CEO.
Ready to Change the Automotive Industry? If you are excited about creating the infrastructure that powers an entire industry and building systems that thousands of businesses depend on, we want to hear from you.
Don’t wait if you don’t tick every box. We are building an inclusive team and value diverse perspectives.
Software Engineer / Data Engineer in London employer: Carpata
Contact Detail:
Carpata Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer / Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the automotive tech space, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data engineering or automation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and problem-solving scenarios. Don’t just focus on the answers; think about how you can demonstrate your thought process and creativity.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our mission to revolutionise the automotive industry.
We think you need these skills to ace Software Engineer / Data Engineer in London
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data shine through! Talk about your experiences with data cleaning and normalisation, and how you obsess over accuracy. We love candidates who are genuinely excited about tackling complex data challenges.
Tailor Your Application: Make sure to customise your application to fit the role. Highlight your programming skills in Python or TypeScript, and mention any relevant experience in the automotive industry. We want to see how your background aligns with our mission to revolutionise the automotive aftersales industry.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your achievements and how they relate to the role. We appreciate candidates who can communicate effectively, as it reflects the collaborative environment we foster at StudySmarter.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team and making an impact in the automotive industry.
How to prepare for a job interview at Carpata
✨Know Your Tech Stack
Make sure you’re well-versed in Python and TypeScript, as these are the primary languages used. Brush up on your database design and query optimisation skills too, as they’ll likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Highlight your automation mindset and how you've built systems that run without manual intervention. This will demonstrate your fit for the role.
✨Understand the Automotive Industry
Familiarise yourself with the automotive aftersales industry and the common pain points faced by businesses. Being able to speak knowledgeably about these issues will show your genuine interest and help you connect with the interviewers.
✨Emphasise Collaboration
Since this role requires working closely with a team, be ready to discuss your experience in collaborative environments. Share examples of how you’ve taken ownership of customer outcomes and contributed to team success.
