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- Tasks: Own data engineering by developing scalable pipelines and managing data integration.
- Company: Dynamic healthcare product manufacturer in the West Midlands.
- Benefits: Salary between £40,000 to £50,000 with a hybrid working model.
- Other info: Emphasises collaboration and autonomy in a fast-paced environment.
- Why this job: Join a rapidly scaling analytics function and make a real impact in healthcare.
- Qualifications: Strong skills in Azure, Python, SQL, and experience with APIs.
The predicted salary is between 40000 - 50000 £ per year.
A healthcare product manufacturer in the West Midlands is looking for a Data Engineer to own data engineering within a rapidly scaling analytics function. The role involves developing data pipelines in Azure, managing data integration, and employing web scraping techniques to gather critical insights.
Applicants should have strong skills in Azure, Python, and SQL, and experience working with APIs.
Benefits include a salary range of £40,000 to £50,000 and a hybrid working model, emphasizing collaboration and autonomy.
Azure Data Engineer: Build Scalable Pipelines & APIs (Hybrid) in West Bromwich employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer: Build Scalable Pipelines & APIs (Hybrid) in West Bromwich
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure projects, data pipelines, and any cool APIs you've built. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising coding challenges in Python and SQL to demonstrate your technical prowess during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Azure Data Engineer: Build Scalable Pipelines & APIs (Hybrid) in West Bromwich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Python, and SQL. 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 rapidly scaling analytics function. Keep it engaging and personal.
Showcase Your Technical Skills: When detailing your experience, focus on specific examples of data pipelines you've built or APIs you've worked with. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Azure Inside Out
Make sure you brush up on your Azure skills before the interview. Be ready to discuss how you've used Azure in past projects, especially in building data pipelines and managing data integration. Having specific examples will show that you’re not just familiar with the platform but can also leverage it effectively.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve a problem or write a query on the spot, so practice common scenarios you might encounter as a Data Engineer. This will help you feel more confident and showcase your technical abilities.
✨Understand Web Scraping Techniques
Since the role involves web scraping, make sure you can explain the techniques you've used in the past. Be ready to discuss the tools and libraries you prefer, and maybe even share a success story where your scraping efforts led to valuable insights.
✨Emphasise Collaboration and Autonomy
This position highlights both collaboration and autonomy, so think about examples from your previous roles where you successfully worked in a team and also took initiative on your own. Being able to balance these two aspects will show that you’re a great fit for their hybrid working model.