🚀 Analytics Engineer
Cox Automotive Europe ¦ Data Solutions
📍 Hybrid – Manchester (2 days per week onsite)
🕒 Permanent, Full-time
🌟 About the Role
Join Cox Automotive Europe’s Data Solutions team, where data sits at the heart of everything we do—from powering our Decision Engine platform to delivering vehicle intelligence and commercial insights across the business.
As an Analytics Engineer, you’ll operate at the intersection of data engineering, analytics, and data science, helping turn complex data into robust, production-ready datasets and pipelines. You’ll play a critical role in enabling faster decision-making, improving model performance, and driving innovation across multiple high-impact workstreams.
💡 What You’ll Be Doing
🔹 Build & Power Data Products
- Design and maintain scalable data pipelines supporting pricing, channel, and timing recommendation models
- Create reusable datasets and dbt models to accelerate analytics and product delivery
- Enable experimentation through A/B testing infrastructure and performance analysis
🔹 Shape Vehicle Data Intelligence
- Develop enriched datasets across multiple European markets (e.g., France, Italy, Spain, Belgium)
- Integrate internal and third-party data sources (auction, RPI, and more)
- Support pricing, benchmarking, and valuation analytics capabilities
🔹 Enable Data Science at Scale
- Collaborate with Data Scientists to productionise models and automate feature engineering
- Own the critical layer between raw data and model inputs
- Ensure data quality, lineage, and reproducibility across pipelines
🔹 Drive Platform Excellence
- Work within a modern Databricks-based data platform
- Contribute to data governance, lineage, and documentation
- Partner with engineering and architecture teams on shared data initiatives
🧠 What We’re Looking For
✅ Essential Skills
- Strong SQL and Python experience
- Hands-on experience with modern data tooling (e.g., Databricks, dbt)
- Proven ability to build and maintain data transformation pipelines
- Solid understanding of data modelling principles
- Ability to translate complex business problems into reliable data solutions
- Experience working in a commercial or product-driven data environment
- Strong communication skills—able to engage technical and non-technical stakeholders
⭐ Nice to Have
- Experience with automotive, marketplace, or pricing data
- Exposure to machine learning workflows and feature engineering
- Familiarity with experimentation and A/B testing frameworks
- Knowledge of data governance, lineage, and cataloguing
- Experience with Agile tools (Jira, Rally, etc.)
🤝 Why Join Us?
- Be part of a high-performing, 15-person Data Solutions team working across product, data science, and platform disciplines
- Work on high-visibility, strategic initiatives with real commercial impact
- Collaborate closely with senior stakeholders across product and data science
- Enjoy a culture of autonomy, curiosity, and technical excellence
🚀 Your Impact
This is a rare opportunity to shape the data foundations behind key strategic products. Your work will directly influence pricing decisions, product development, and the evolution of our data platform.
👉 Apply now to help us build the data capabilities driving the future of automotive intelligence.
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