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- Tasks: Enhance financial sector capabilities using Google Cloud Platform and Power BI.
- Company: Leading corporate technology provider in the UK with a focus on innovation.
- Benefits: Competitive salary, diverse workplace, and inclusive benefits.
- Why this job: Work with cutting-edge tech and make a real impact in the financial sector.
- Qualifications: Strong data engineering skills and proficiency in Python and SQL.
The predicted salary is between 28800 - 43200 £ per year.
A corporate technology provider in the UK is seeking a Data Engineer to enhance their client's capabilities within the financial sector. You will work with cutting-edge technologies including Google Cloud Platform and Power BI, focusing on responsibilities such as database management, data modeling, and cloud technologies.
The ideal candidate possesses extensive knowledge of data engineering and a solid background in programming languages like Python and SQL. This position offers a competitive salary and benefits, emphasizing diversity and inclusion.
Cloud Data Engineer: GCP & Big Data Analytics in Burgess Hill employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer: GCP & Big Data Analytics in Burgess Hill
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with GCP and Big Data. 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 in Python and SQL. When you can demonstrate your expertise, it makes you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising coding challenges and discussing your past experiences with database management and cloud technologies.
✨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 Cloud Data Engineer: GCP & Big Data Analytics in Burgess Hill
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Cloud Platform, 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 team. We love hearing personal stories that connect your experience to the role.
Showcase Your Technical Skills: Since this role involves cutting-edge technologies, make sure to mention any specific tools or frameworks you’ve worked with. We’re particularly interested in your experience with database management and data modelling, so highlight those!
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 showcase your talents!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Google Cloud Platform and Big Data Analytics. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Show Off Your Programming Skills
Since programming languages like Python and SQL are crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data engineering tasks beforehand.
✨Understand the Financial Sector
Research the financial sector and understand how data engineering plays a role in it. Be prepared to discuss how your work can enhance client capabilities and drive business outcomes in this industry.
✨Emphasise Diversity and Inclusion
This company values diversity and inclusion, so think about how your unique background and experiences can contribute to their culture. Be ready to share examples of how you've worked effectively in diverse teams or supported inclusive practices.
