Analytics Engineer

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 work streams.

• 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
• 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

• Collaborate with Data Scientists to product ionise models and automate feature engineering
• Own the critical layer between raw data and model inputs
• Ensure data quality, lineage, and reproducibility across pipelines
• 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

• 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

• 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.)
• 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

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.