Data Engineer - Azure, Databricks, ML/AI

Pinewood.AI; Birmingham; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading data solutions firm in Birmingham is seeking an experienced Data Engineer to shape data solutions for the automotive technology sector. You'll be responsible for developing scalable cloud-based data infrastructure and optimizing data pipelines that support the Automotive Intelligence Platform, impacting thousands of dealerships globally. Strong skills in Azure Databricks, Python, and data pipeline management are essential for this role which offers a competitive salary and hybrid working options.

Benefits

Competitive salary based on experience

Bonus scheme

Share scheme

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

Qualifications

• Strong understanding of data engineering concepts, including Lakehouse architecture, data warehousing, and database design.
• Proven experience building secure, scalable, and high-performing data pipelines.
• Ability to solve complex technical problems and work collaboratively across teams.

Responsibilities

• Build and maintain a unified data platform for global data processing.
• Develop scalable and reusable data solutions with strong emphasis on componentisation.
• Optimize the performance and reliability of data pipelines for fast access.

Skills

Azure Databricks

Python / PySpark

Microsoft SQL Server

Azure Blob Storage

ETL/ELT pipelines

Tools

Azure Data Factory

Delta Lake

Parquet file formats

Job description

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.