At a Glance
- Tasks: Build and optimise data pipelines for a cutting-edge Automotive Intelligence Platform.
- Company: Join Pinewood.AI, a leader in automotive technology solutions.
- Benefits: Enjoy competitive salary, 25 days holiday, life assurance, and ongoing training.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Make a real impact in the automotive industry with innovative data solutions.
- Qualifications: Experience in data engineering, Python, and cloud technologies required.
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.
Requirements
- Strong understanding of data engineering concepts, including Lakehouse architecture and Delta Lake, Data warehousing, Change Data Capture (CDC) and change tracking, Stream processing, Machine Learning and AI integration.
- Hands‑on experience with Python / PySpark and Microsoft SQL Server.
- 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.
- 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. 25 days holiday plus all UK bank holidays. Life assurance. Ongoing training & professional development. Free onsite gym (Birmingham). Employee recognition and awards.
About Us
Our story began more than 20 years ago, but 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.
Data Engineer - Azure, Databricks, ML/AI in Birmingham employer: Pinewood.AI
Pinewood.AI is an exceptional employer, offering a dynamic work environment in Solihull where innovation meets collaboration. With a strong focus on employee growth through ongoing training and professional development, we provide competitive benefits including hybrid working, generous leave policies, and a supportive culture that values teamwork and recognition. Join us to be part of a well-established engineering team dedicated to delivering impactful solutions for the automotive industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Azure, Databricks, ML/AI in Birmingham
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We think you need these skills to ace Data Engineer - Azure, Databricks, ML/AI in Birmingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Pinewood.AI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Pinewood.AI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Pinewood.AI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Pinewood.AI!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
