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- Tasks: Build complex data solutions using Azure and Python, while mentoring others.
- Company: Leading UK insurance company with a supportive culture.
- Benefits: Flexible hybrid role with endless growth opportunities.
- Why this job: Join a passionate team and make an impact in the tech-driven insurance sector.
- Qualifications: Expertise in data pipelines and mentoring experience required.
- Other info: Dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 43200 - 72000 £ per year.
A leading insurance company in the UK is seeking a Senior Data Engineer passionate about data and technology. This hybrid role focuses on building complex data solutions using Azure services and programming in Python and PySpark.
Candidates should have expertise in data pipelines and a proactive attitude towards mentoring others. This position offers flexibility and the chance to work in a supportive culture with endless growth opportunities.
Senior Data Engineer: Azure Cloud, PySpark & Mentorship in Manchester employer: First Central
Contact Detail:
First Central Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Azure Cloud, PySpark & Mentorship in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects, especially those using Azure and PySpark. This will help us see your hands-on experience and passion for the tech.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data pipeline knowledge and coding skills in Python. Mock interviews with friends or online platforms can really boost your confidence.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Engineer: Azure Cloud, PySpark & Mentorship in Manchester
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data and technology shine through. We want to see how your passion aligns with our mission at StudySmarter and the role of a Senior Data Engineer.
Highlight Your Technical Skills: Make sure to showcase your expertise in Azure services, Python, and PySpark. We’re looking for someone who can build complex data solutions, so don’t hold back on detailing your experience with data pipelines!
Mentorship Matters: Since this role involves mentoring others, share any relevant experiences you have in guiding or supporting colleagues. We value a proactive attitude towards mentorship, so let us know how you can contribute to our supportive culture.
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 during the process!
How to prepare for a job interview at First Central
✨Know Your Tech Inside Out
Make sure you brush up on your Azure services and PySpark skills. Be ready to discuss specific projects where you've built data pipelines, as this will show your hands-on experience and technical expertise.
✨Showcase Your Mentorship Skills
Since the role involves mentoring, think of examples where you've guided others or led a team. Prepare to share how you approach mentorship and how it has positively impacted your colleagues or projects.
✨Be Ready for Problem-Solving Questions
Expect some technical challenges during the interview. Practice explaining your thought process when tackling complex data problems, as this will demonstrate your analytical skills and proactive attitude.
✨Emphasise Cultural Fit
This company values a supportive culture, so be prepared to discuss how you contribute to a positive work environment. Share experiences that highlight your teamwork and adaptability, showing that you align with their values.
