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- Tasks: Support data systems, develop pricing models, and analyse stock turnover.
- Company: Cycle Exchange, the UK's leading marketplace for premium pre-owned bicycles.
- Benefits: Competitive salary, growth opportunities, and a chance to work with innovative data solutions.
- Why this job: Take ownership of real-world projects in a fast-growing e-commerce environment.
- Qualifications: 1-3 years experience in data engineering or analytics; familiarity with SQL or Python.
- Other info: Hands-on role with a focus on practical data applications and commercial decision-making.
The predicted salary is between 30000 - 42000 £ per year.
About Cycle Exchange
Cycle Exchange is the UK’s leading marketplace for premium pre‑owned bicycles, operating a fast‑growing ecommerce platform and retail presence. In 2025, we secured growth investment from Beringea Capital (VCT) to strengthen our digital infrastructure, improve pricing intelligence, and enhance our data capabilities. As part of this growth, we are hiring a Junior–Mid Level Data Engineer to support our internal data systems—particularly around pricing, stock valuation, and operational insights.
Role Overview
This is an ideal role for someone with 1–3 years’ experience in data engineering, analytics engineering, or data science who wants to take ownership of meaningful real‑world projects in a scaling business. You will support the development of our pricing models, stock turnover analysis, data pipelines, and internal reporting. The role is hands‑on, highly practical, and directly tied to commercial decision‑making. You don’t need to be a senior engineer—but you must be curious, analytical, and comfortable working with data, spreadsheets, and tools like SQL or Python.
Key Responsibilities
- Data Preparation & Pipeline Support
- Collect, clean, and prepare data from Shopify, GA4, Airtable, valuation tools, and other internal systems.
- Maintain simple ETL/ELT processes (imports, transformations, merging datasets).
- Help improve data accuracy across pricing, stock, and sales datasets.
- Support integration of new data sources as the business expands.
- Pricing & Valuation Support
- Analyse historical stock turnover, time‑to‑sell, demand patterns, and depreciation.
- Assist in building a basic pricing engine using historical sales data and rules‑based logic.
- Identify anomalies, outliers, or emerging trends in pricing performance.
- Provide data that helps improve valuations, trade‑in offers, and pricing accuracy.
Junior–Mid Data Engineer in Kingston upon Thames employer: Cycle Exchange Limited
Contact Detail:
Cycle Exchange Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior–Mid Data Engineer in Kingston upon Thames
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 showcasing your projects, especially those involving data pipelines or analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss how you've tackled data challenges in the past and how you can contribute to Cycle Exchange's growth. Practice makes perfect!
✨Tip Number 4
Don’t forget to 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 the Cycle Exchange team.
We think you need these skills to ace Junior–Mid Data Engineer in Kingston upon Thames
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data engineering! Share any personal projects or experiences that highlight your curiosity and analytical skills. We love seeing candidates who are genuinely excited about working with data.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Junior–Mid Data Engineer role. Highlight relevant experience with tools like SQL or Python, and mention any specific projects that relate to pricing models or data pipelines. This helps us see how you fit into our team!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate clarity and brevity in applications!
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 helps us keep everything organised on our end.
How to prepare for a job interview at Cycle Exchange Limited
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in data preparation and pipeline support. Showing that you're comfortable with these technologies will give you a leg up.
✨Show Your Analytical Side
Prepare examples of how you've analysed data in previous roles. Whether it's stock turnover analysis or identifying trends, be ready to explain your thought process and the impact your insights had on decision-making. This will demonstrate your analytical mindset, which is crucial for this role.
✨Understand the Business Context
Familiarise yourself with Cycle Exchange's business model and how data plays a role in their operations. Knowing about their pricing strategies and stock management will help you connect your skills to their needs, making you a more attractive candidate.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data challenges and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to showcase your curiosity and eagerness to contribute.
