At a Glance
- Tasks: Build scalable data pipelines and optimise data for impactful business decisions.
- Company: Exciting startup transforming car dealership data acquisition with a dynamic team.
- Benefits: Enjoy a 4-day work week, hybrid flexibility, and competitive salary with bonuses.
- Other info: Fast-paced environment with real ownership and growth opportunities.
- Why this job: Join as a founding Data Engineer and shape the future of data-driven products.
- Qualifications: Strong skills in Python, SQL, and experience with API integrations required.
The predicted salary is between 75000 - 90000 £ per year.
A well-backed startup building a platform that enables car dealerships to acquire vehicles directly from private sellers in a more efficient, data-led way. They are scaling quickly across the US and are now at the point where data needs to evolve from something functional into something structured, scalable and commercially powerful. This is a Founding Data Engineer hire, offering real ownership from day one and the opportunity to shape how data underpins both the product and growth of the business.
The role involves joining an environment where data exists but is not yet optimised for scale. There is a bespoke dashboard, multiple data sources, and increasing complexity across marketing, CRM and dealership data. You will assess what exists, decide what needs to change, and build the right foundations. This role spans Data Engineering and Analytics Engineering, meaning you will not only move data but structure it in a way the business can use.
Responsibilities:- Assess data quality, structure and flow
- Build scalable data pipelines using Python and SQL
- Model and transform data into clean, usable layers
- Define architecture and tooling
- Integrate APIs, CRM and SaaS tools
- Own how data is surfaced across the business
You will make decisions on tooling and infrastructure, work through ambiguity, and balance speed with quality in a fast-moving environment. You will work closely with marketing, sales funnel and CRM data, helping shape a future data-driven product and improving conversion and performance.
What they’re looking for:- Strong Python and SQL MySQL experience
- API and SaaS integrations
- Cloud experience (Google Cloud preferred, AWS also relevant)
- Startup mindset with ownership and pace
- Experience working in a marketing-led or commercially driven environment, with a strong understanding of the sales funnel and customer journey
A fast-paced startup environment where priorities evolve, requiring pragmatism, ownership and collaboration.
Logistics & package:- Location: Bolton, moving to Manchester city centre
- Hybrid: 3 days onsite, Wednesdays from home
- Working pattern: 4-day week (Mon–Thurs, 8am–6pm)
Senior Data Engineer employer: Mirai Talent
Mirai Talent is an exceptional employer that fosters a vibrant work culture centred around innovation and community engagement. With a focus on meaningful missions, employees have the opportunity to grow alongside a dynamic team while contributing to impactful initiatives like 'she does data.' and the 'Let's Talk Data' podcast. Located in Manchester, the company offers flexible working arrangements and a competitive salary package, making it an attractive choice for those seeking a rewarding career in brand and community management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at startups. Use LinkedIn to connect and engage with them. A personal touch can go a long way in landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This is your chance to demonstrate your Python and SQL prowess, and it’ll make you stand out when applying through our website.
✨Tip Number 3
Prepare for the interview by understanding the company’s product and how data drives their success. Be ready to discuss how you can optimise their data pipelines and contribute to their growth. We want to see your passion for data!
✨Tip Number 4
Follow up after your interview! A quick thank-you email can keep you fresh in their minds. Mention something specific from your conversation to show you were engaged and are genuinely interested in the role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Engineer. Highlight your experience with Python, SQL, and any relevant cloud technologies. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our startup's growth. Let us know why you're excited about the opportunity to shape our data strategy.
Showcase Your Projects:If you've worked on any projects that involved building data pipelines or integrating APIs, make sure to mention them. We love seeing real-world examples of your work and how you've tackled challenges in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Mirai Talent
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data engineering. Be ready to discuss specific projects where you built scalable data pipelines using Python and SQL. Highlight how you assessed data quality and structured it for business use, as this will show your understanding of the role's requirements.
✨Showcase Your Startup Mindset
This company is looking for someone who thrives in a fast-paced environment. Prepare examples that demonstrate your ability to work through ambiguity and make quick decisions. Talk about times when you took ownership of a project and how you balanced speed with quality.
✨Understand the Business Impact
Since the role involves working closely with marketing and sales data, brush up on how data influences acquisition and conversion rates. Be ready to discuss how your data strategies can directly impact the company's growth and product development.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about their current data architecture and the challenges they face. This not only shows your interest but also gives you insight into how you can contribute to their goals from day one.
