At a Glance
- Tasks: Build scalable data infrastructure and optimise performance for cutting-edge automotive technology.
- Company: Leading automotive tech company in Birmingham with a focus on innovation.
- Benefits: Competitive salary, training opportunities, and comprehensive benefits package.
- Other info: Exciting full-time role with opportunities for growth and development.
- Why this job: Join a dynamic team and shape the future of automotive intelligence.
- Qualifications: Experience in data engineering, Python, and strong problem-solving skills.
The predicted salary is between 50000 - 60000 £ per year.
A leading automotive technology company in Birmingham is seeking a skilled Data Engineer to develop scalable data infrastructure for their Automotive Intelligence Platform.
Responsibilities include:
- Building data pipelines
- Optimising performance
- Collaborating with teams
Ideal candidates will have experience in data engineering, Python, and strong problem-solving skills. This full-time position offers competitive salary, training, and benefits.
Cloud-Scale Data Engineer: Azure, Databricks & AI in Birmingham employer: Pinewood.AI
Contact Detail:
Pinewood.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud-Scale Data Engineer: Azure, Databricks & AI in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the automotive tech space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects, especially those using Azure and Databricks. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your problem-solving process clearly, as this is key for roles that require collaboration with teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Cloud-Scale Data Engineer: Azure, Databricks & AI in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Azure and Databricks. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our Automotive Intelligence Platform. Keep it concise but impactful!
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love candidates who can think on their feet and come up with innovative solutions, so let us know how you’ve done this!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll make sure your application gets into the right hands!
How to prepare for a job interview at Pinewood.AI
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Databricks, and any relevant AI tools. Brush up on your Python skills too! Being able to discuss specific projects where you've used these technologies will show that you’re not just familiar with them, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of challenges you've faced in data engineering and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to optimise performance.
✨Collaboration is Key
Since the role involves working with various teams, be ready to discuss your experience in collaborative projects. Highlight how you’ve communicated with different stakeholders and contributed to team success. This shows you’re a team player and can fit into their company culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s Automotive Intelligence Platform and their future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. It’s a two-way street!