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- Tasks: Develop scalable data infrastructure for our global Automotive Intelligence Platform.
- Company: Pinewood.AI creates innovative tech solutions for the automotive industry.
- Benefits: Enjoy hybrid working, competitive salary, bonus schemes, and a free onsite gym.
- Why this job: Join a forward-thinking team and make a real-world impact with cutting-edge technologies.
- Qualifications: Experience in data engineering, Azure, and building secure data pipelines is essential.
- Other info: Ongoing training and regular social events to foster a vibrant workplace culture.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Data Engineer – Azure, Databricks, ML/AI
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 optimizing 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.
Requirements
- Strong understanding of data engineering concepts, including lakehouse architecture and Delta Lake, data warehousing, ETL/ELT pipelines, CDC and change tracking, stream processing, database design, and 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.
Benefits
- Competitive salary based on experience
- Bonus scheme
- Share scheme
- Hybrid working
- 25 days holiday plus all UK bank holidays
- 4Ă— life assurance
- Enhanced family‑friendly leave – 5 months full pay for maternity or adoption, plus 2 weeks fully paid paternity/adoption leave and an extra 2 weeks to use as paid annual leave within 24 months of birth or adoption
- Employee Assistance Programme (EAP) – free, confidential 24/7 support for you and your immediate family (including counselling, legal & financial advice, and wellbeing resources)
- Ongoing training & professional development
- Free onsite gym (Birmingham)
- Cycle to Work scheme – save up to 40% on bikes and accessories through salary sacrifice
- Eyecare vouchers – free eye test and contribution towards prescription glasses
- 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: Pinewood.AI
Contact Detail:
Pinewood.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Azure, Databricks, ML/AI
✨Tip Number 1
Familiarise yourself with Azure Databricks and Azure Data Factory, as these are key tools for the role. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the automotive technology space, especially those who work with data engineering. Attend industry meetups or webinars to gain insights and potentially connect with current employees at Pinewood.AI.
✨Tip Number 3
Stay updated on the latest trends in machine learning and AI integration within data engineering. Being able to discuss recent advancements or case studies during interviews can demonstrate your passion and knowledge in the field.
✨Tip Number 4
Prepare to discuss your problem-solving approach in technical scenarios. Think of specific examples where you've optimised data pipelines or resolved performance issues, as this will highlight your practical experience and collaborative skills.
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 highlights relevant experience in data engineering, particularly with Azure, Databricks, and ML/AI. Use specific examples of projects where you've built scalable data solutions or optimised data pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the automotive technology sector and how your skills align with Pinewood.AI's mission. Mention any experience you have with cloud technologies and data engineering concepts that are relevant to the role.
Showcase Technical Skills: Clearly list your technical skills related to the job description, such as Python, Azure Data Factory, and ETL/ELT processes. Provide context on how you've applied these skills in previous roles to solve complex problems.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Describe how you’ve worked with data visualisation teams or other departments to achieve common goals, emphasising your communication skills.
How to prepare for a job interview at Pinewood.AI
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Azure Databricks, Python, and data pipeline development. Bring examples of past projects where you built scalable data solutions or optimised performance, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Automotive Sector
Familiarise yourself with the automotive technology landscape and Pinewood.AI's position within it. Showing an understanding of how data solutions impact automotive retail can set you apart and highlight your genuine interest in the industry.
✨Emphasise Collaboration
Since the role involves working closely with cross-functional teams, be ready to discuss your collaborative experiences. Share examples of how you've worked with data visualisation teams or other departments to align back-end processing with front-end reporting.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, particularly around data bottlenecks or performance issues. Think of specific challenges you've faced in previous roles and how you resolved them, as this will showcase your analytical thinking and proactive approach.
