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- Tasks: Build scalable data infrastructure for an innovative Automotive Intelligence Platform.
- Company: Leading tech company in Birmingham with a focus on cutting-edge solutions.
- Benefits: Competitive salary, hybrid work, generous family leave, and professional development.
- Why this job: Own the data lifecycle and work with complex datasets to drive innovation.
- Qualifications: Experience in Azure Databricks, Python/PySpark, and data engineering concepts.
- Other info: Join a dynamic team with opportunities for growth and impact.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in Birmingham is seeking a skilled Data Engineer to develop scalable data infrastructure for its global Automotive Intelligence Platform. The role requires expertise in Azure Databricks, Python/PySpark, and a solid understanding of data engineering concepts. You will take ownership of the entire data lifecycle and work with complex datasets to enhance productivity and accuracy.
The position offers a competitive salary, hybrid working, and comprehensive benefits including generous family leave and professional development opportunities.
Data Engineer: Azure Databricks, ML/AI Pipelines in Birmingham 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 Pipelines in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Azure Databricks or in data engineering roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML/AI pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. We recommend practising coding challenges related to Python and PySpark to demonstrate your technical prowess.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Data Engineer: Azure Databricks, ML/AI Pipelines in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and Python/PySpark. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex datasets or improved data processes. We’re looking for someone who takes ownership of the data lifecycle, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Pinewood.AI
✨Know Your Tech Inside Out
Make sure you brush up on Azure Databricks and Python/PySpark before the interview. Be ready to discuss your previous projects and how you've used these technologies to solve real-world problems. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Understand the Data Lifecycle
Since the role involves taking ownership of the entire data lifecycle, be prepared to explain your approach to managing data from ingestion to processing and storage. Think about specific examples where you’ve improved productivity or accuracy in past roles, as this will demonstrate your hands-on experience.
✨Showcase Your Problem-Solving Skills
Data engineering often involves tackling complex datasets. Prepare to discuss challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewer to follow your thought process.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company’s Automotive Intelligence Platform and their future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
