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- Tasks: Build and maintain a cutting-edge data platform for the automotive industry.
- Company: Join Pinewood.AI, a leader in automotive technology solutions.
- Benefits: Competitive salary, bonus scheme, hybrid working, and 25 days holiday.
- Why this job: Shape the future of data solutions and make a real impact globally.
- Qualifications: Experience in data engineering, Azure, and strong problem-solving skills.
- Other info: Collaborative team culture with ongoing training and social events.
The predicted salary is between 36000 - 60000 £ per year.
Pinewood.AI is looking for a skilled and experienced Data Engineer to help shape the future of data solutions in the automotive technology space. In this role, you’ll be instrumental in developing scalable, modern data infrastructure that supports our global Automotive Intelligence Platform – the system that powers thousands of dealerships worldwide.
You’ll take ownership of the full data lifecycle, from extracting and transforming data to optimising performance and developing secure, scalable storage solutions. If you’re passionate about building clean, robust cloud-based pipelines, working with large and complex datasets, and applying the latest technologies (including AI features), this is the role for you.
Key Responsibilities:
- Build and maintain a unified data platform that ingests and processes global data from across our Automotive Intelligence Platform.
- Develop scalable and reusable data solutions with a strong emphasis on componentisation.
- Optimise the performance and reliability of data pipelines, ensuring fast access to large datasets.
- Collaborate with the data visualisation team to align back-end processing with front-end reporting.
- Design and implement secure, flexible data access models for internal and external users.
- Use bespoke pipelines and Azure Data Factory to incorporate 3rd party external data sources.
- Establish unit and integration testing practices and support CI/CD processes for data pipelines.
- Identify and resolve bottlenecks or performance issues across the data stack.
- Investigate and address platform support tickets related to data.
- Enable multi-language capabilities within the platform’s data presentation layer.
- Explore and integrate AI capabilities to boost data productivity and accuracy.
- Strong understanding of data engineering concepts, including:
- Lakehouse architecture and Delta Lake
- Data warehousing
- ETL/ELT pipelines
- Change Data Capture (CDC) and change tracking
- Stream processing
- Database design
- Machine Learning and AI integration
- Hands-on experience with:
- Azure Databricks
- Python / PySpark
- Microsoft SQL Server
- Azure Blob Storage
- Parquet file formats
- Azure Data Factory
- Proven experience building secure, scalable, and high-performing data pipelines.
- Ability to solve complex technical problems and work collaboratively across teams.
- Excellent communication and documentation skills.
- Self-motivated with a proactive approach to continuous improvement.
Desirable Experience:
- Experience in the retail sector, especially automotive retail.
- Background in delivering large-scale, enterprise-grade data solutions.
- Familiarity with Agile methodologies and working in cross-functional teams.
- Competitive salary based on experience
- Bonus scheme
- Share scheme
- Hybrid working
- 25 days holiday plus all UK bank holidays
- Life assurance
- Ongoing training & professional development
- Free onsite gym (Birmingham)
- Regular social events
- Employee recognition and awards
Why join Pinewood.AI?
This is an exciting opportunity to shape the future of data solutions in the automotive technology sector. As a Data Engineer at Pinewood.AI, you’ll be at the forefront of designing scalable, modern data infrastructure for a product that powers thousands of dealerships globally. You’ll join a collaborative, forward-thinking team that values innovation and practical solutions. If you\’re passionate about leveraging cloud technologies and data engineering to drive real-world impact, this role offers the perfect blend of technical challenge and industry relevance.
About Us
Our story began more than 20 years ago, but right from the start, it has been rooted in the specific needs of the automotive industry. As automotive professionals as well as technologists, we wanted to build practical technology solutions that were designed around how automotive businesses work, recognising what makes them different. Pinewood.AI is an unparalleled Automotive Intelligence Platform that enables automotive retail customers and OEMs to drive growth and profitability throughout every aspect of their business.
Pinewood’s cloud-based, secure end-to-end ecosystem unlocks the value of every customer. Our vision is to be the full-service technology partner that helps automotive retailers and OEMs run more efficiently and increase revenue by making better commercial and business decisions more easily.
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Data Engineer - Azure, Databricks, ML/AI employer: Internetwork Expert
Contact Detail:
Internetwork Expert Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Azure, Databricks, ML/AI
✨Tip Number 1
Network like a pro! Reach out to folks in the automotive tech space on LinkedIn or at industry events. 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 engineering projects, especially those involving Azure and Databricks. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data engineering scenarios and be ready to discuss how you've tackled challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Engineer - Azure, Databricks, ML/AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure, Databricks, and any relevant ML/AI projects. 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 Automotive Intelligence Platform. Let us know why you're excited about this opportunity!
Showcase Your Projects: If you've worked on any cool data projects, don’t hold back! Include links or descriptions of your work, especially if it involves building data pipelines or using Azure technologies. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Internetwork Expert
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Databricks, and the various data engineering concepts mentioned in the job description. Brush up on your knowledge of ETL/ELT pipelines, Lakehouse architecture, and machine learning integration. Being able to discuss these topics confidently will show that you’re not just familiar with the tools, but you truly understand how to leverage them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical problems in your previous roles. Think about times when you optimised data pipelines or resolved performance issues. This will demonstrate your ability to think critically and work collaboratively, which is key for this role.
✨Align with Their Vision
Familiarise yourself with Pinewood.AI’s mission and values. Be ready to explain how your passion for automotive technology and data solutions aligns with their goals. Showing that you understand their vision will help you stand out as a candidate who is genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the role and the company. Inquire about their current data challenges, the team dynamics, or how they integrate AI capabilities into their platform. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
