Data Engineer, Pinewood AI
Azure, Databricks, ML/AI
+ Bonus scheme and share scheme
More information about location
Automotive intelligence platform
Be an early applicant
Automotive intelligence platform
201-500 employees
Be an early applicant
+ Bonus scheme and share scheme
More information about location
201-500 employees
Company mission
To unlock customer value by increasing our customers' Automotive Intelligence.
Role
Who you are
- 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 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
What the job involves
- 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
- 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
Our take
Pinewood.AI is an Automotive Intelligence Platform tailored for car retailers and manufacturers (OEMs), helping them drive growth and profitability across every area of their operations. Essentially, it functions like a modern Dealership Management System (DMS) but more powerful, combining sales, service, accounting, customer engagement, and business intelligence in one system.
The platform stands out by leveraging real-time data and AI to give users visibility and insight into everything that happens at a dealership. It also supports OEMS by allowing tight integration between manufacturers and their retail networks, so that manufacturers can maintain a consistent, data-driven customer experience across markets.
Pinewood has also experienced significant momentum recently, with its H1 FY25 revenue rising by 21.7% to £19.6M, driven largely by recurring spending from existing clients and the integration of its Seez AI solution. Gross profit also climbed 17.2%, and its underlying EBITDA reached £7.9M, a testament to both growth and operational leverage. With this strong momentum, the company has even bigger targets for the years to come.
Freddie
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Competitive salary based on experience
- Bonus scheme
- Share scheme
- Hybrid working
- 25 days holiday plus all UK bank holidays
- 4x 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
Company HQ
Birmingham, UK
Leadership
Bill Berman
(CEO)Prior to joining Pinewood in 2019 as CEO, Bill spent nearly 6 years at Pendragon as CEO/Chairman of the Board. He also spent over 20 years at AutoNation in a number of roles, including President and COO.
Ollie Mann
(CFO)Prior to joining Pinewood in 2024 as CFO, Ollie spent 18 years at Pendragon, joining as an Assistant Group Financial Officer before working his way up to Director of Group Finance.
Kim Costello
(CMO)Prior to joining Pinewood, Kim spent 4 years at Pendragon as CMO/CCO. She also spent 6 years at AutoNation in Marketing, Communication & Operations and 3 years at the Miami Dolphins as a Direct Report to CEO/Ownership.
Steve Meadows
(CCO)Steve joined Pinewood in 1997, initially leading the implementation of large dealer group systems. Prior to this, he spent 5 years at Dana Distribution UK in various roles.
Kieran Kelly
(CTO)Kieran joined Pinewood in 2001 as a Technical Architect, he then moved into the role of Technical Director in 2016 and CTO in 2024. Prior to Pinewood, he was a Software Developer at Milk Design.
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