At a Glance
- Tasks: Design and maintain data pipelines, enabling faster decision-making and driving innovation.
- Company: Join Cox Automotive Europe’s dynamic Data Solutions team.
- Benefits: Competitive salary, collaborative culture, and opportunities for professional growth.
- Other info: Work with a high-performing team on strategic initiatives that matter.
- Why this job: Shape the future of data-driven decisions in a high-impact role.
- Qualifications: Strong SQL and Python skills, with experience in data tooling.
The predicted salary is between 50000 - 65000 £ per year.
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.
Responsibilities
- 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
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
- 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
- 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.)
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.
Analytics Engineer in Manchester employer: Cox Automotive Europe
Cox Automotive Europe is an exceptional employer that places data at the core of its operations, fostering a culture of innovation and collaboration. As an Analytics Engineer, you will benefit from a dynamic work environment that encourages autonomy and curiosity, while also providing ample opportunities for professional growth through high-impact projects across multiple European markets. With a focus on technical excellence and a commitment to employee development, you'll be part of a high-performing team that directly influences strategic decisions and product evolution.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Cox Automotive Europe. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and analytics projects. This is your chance to demonstrate how you turn complex data into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and Python. Be ready to discuss your experience with data tooling like Databricks and dbt. We want to see how you can contribute to our data solutions team!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Analytics Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Analytics Engineer. Highlight your SQL and Python skills, and any experience with data pipelines or tools like Databricks and dbt. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our Data Solutions team. Be sure to mention any relevant projects or experiences that showcase your skills.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can translate business problems into effective data solutions, so don’t hold back on those success stories!
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 get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Cox Automotive Europe
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Familiarise yourself with modern data tooling like Databricks and dbt, as these are crucial for the role. Be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've translated complex business problems into reliable data solutions. Think about specific challenges you've faced and how you approached them, especially in a commercial or product-driven environment.
✨Communicate Effectively
Strong communication skills are key for this role. Practice explaining technical concepts in simple terms, as you'll need to engage both technical and non-technical stakeholders. Consider how you can demonstrate this during the interview.
✨Understand the Business Impact
Research Cox Automotive Europe and understand their data-driven initiatives. Be prepared to discuss how your work as an Analytics Engineer can influence pricing decisions and product development. Showing that you grasp the bigger picture will set you apart.
