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- Tasks: Shape data solutions and optimise pipelines for the automotive tech sector.
- Company: Leading data solutions firm in Birmingham with a focus on innovation.
- Benefits: Competitive salary, hybrid working options, and impactful projects.
- Why this job: Make a global impact by developing scalable cloud-based data infrastructure.
- Qualifications: Experience with Azure Databricks, Python, and data pipeline management.
- Other info: Join a dynamic team and enhance your career in a growing industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading data solutions firm in Birmingham is seeking an experienced Data Engineer to shape data solutions for the automotive technology sector. You will 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.
Data Engineer: Azure, Databricks & AI Pipelines (Hybrid) in Birmingham employer: Internetwork Expert
Contact Detail:
Internetwork Expert Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Azure, Databricks & AI Pipelines (Hybrid) in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the automotive tech sector on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Azure, Databricks, and Python. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you've optimised data pipelines in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the extra step to connect with us directly. It shows initiative and enthusiasm for the role.
We think you need these skills to ace Data Engineer: Azure, Databricks & AI Pipelines (Hybrid) in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and Python. 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!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data pipeline management. We love seeing how you think critically and come up with innovative solutions that could benefit our team.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our awesome team!
How to prepare for a job interview at Internetwork Expert
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Databricks and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've optimised data pipelines in the past. Think of examples that highlight your ability to develop scalable solutions and improve efficiency, especially in a cloud-based environment.
✨Understand the Automotive Sector
Familiarise yourself with the automotive technology sector and the role of data in it. Being able to discuss industry trends or challenges will show your genuine interest and help you stand out as a candidate who understands the bigger picture.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data infrastructure and future projects. This not only shows your enthusiasm for the role but also gives you a chance to assess if the company is the right fit for you.