At a Glance
- Tasks: Build and maintain scalable data pipelines while generating valuable insights.
- Company: Join a leading company in the analytics and data engineering space.
- Benefits: Negotiable salary, flexible working arrangements, and great benefits.
- Other info: Collaborate with multidisciplinary teams in a dynamic hybrid environment.
- Why this job: Work with cutting-edge tools like Power BI and Tableau to make an impact.
- Qualifications: Degree in a STEM subject and strong programming skills required.
The predicted salary is between 50000 - 65000 £ per year.
Brown & Brown (Europe) Limited is seeking an Analytics & Data Engineer to build and maintain scalable data pipelines, analyze data, and generate valuable insights. This hybrid role involves working closely with multidisciplinary teams, utilizing tools like Power BI and Tableau.
The ideal candidate will hold a degree in a STEM subject and have strong programming skills, with experience in cloud platforms like Azure and AWS.
The position offers a negotiable salary, benefits, and flexible working arrangements.
Analytics & Data Engineer — Hybrid London, Data Pipelines employer: 897 Brown & Brown (Europe) Limited
At Brown & Brown (Europe) Limited, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As an Analytics & Data Engineer in our London office, you will benefit from flexible working arrangements, competitive salary packages, and ample opportunities for professional growth within a dynamic team dedicated to leveraging data for impactful insights.
Contact Details:
897 Brown & Brown (Europe) Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Analytics & Data Engineer — Hybrid London, Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and analytics projects. We all know that actions speak louder than words, so let your work do the talking.
✨Tip Number 3
Prepare for those interviews! Research common questions for Analytics & Data Engineer roles and practice your answers. We want you to feel confident and ready to impress the hiring team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals like you, so don’t hesitate to hit that apply button!
We think you need these skills to ace Analytics & Data Engineer — Hybrid London, Data Pipelines
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills and experience with cloud platforms like Azure and AWS. We want to see how you can build and maintain those scalable data pipelines!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to the role by mentioning specific tools like Power BI and Tableau that you’ve used. It shows us you’re genuinely interested in the position.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experience.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at 897 Brown & Brown (Europe) Limited
✨Know Your Data Tools
Familiarise yourself with Power BI and Tableau before the interview. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming knowledge, especially in languages relevant to data engineering. Think of specific examples where your coding skills made a significant impact on a project or improved a process.
✨Understand Cloud Platforms
Brush up on your knowledge of Azure and AWS. Be prepared to explain how you've utilised these platforms in your previous roles, and consider discussing any specific services that are particularly relevant to building data pipelines.
✨Collaborate and Communicate
Since this role involves working with multidisciplinary teams, think of examples that highlight your teamwork and communication skills. Be ready to share how you’ve successfully collaborated with others to achieve common goals.
