Data Engineer: Build Scalable Pipelines & Insights in City of London
Data Engineer: Build Scalable Pipelines & Insights

Data Engineer: Build Scalable Pipelines & Insights in City of London

City of London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build scalable data pipelines to turn data into actionable insights.
  • Company: Strategic advisory firm in London with a focus on innovation.
  • Benefits: Competitive benefits and a supportive team environment.
  • Why this job: Join a dynamic team and make a real impact with your data skills.
  • Qualifications: Experience with AWS services and strong data modelling skills.
  • Other info: Great opportunity for career growth in a collaborative setting.

The predicted salary is between 36000 - 60000 £ per year.

A strategic advisory firm in London is seeking a Data Engineer to establish data engineering capabilities. You will design data infrastructures, ensuring reliable and scalable data pipelines while collaborating with mission teams to convert data into actionable insights.

The ideal candidate has strong experience in AWS services, modeling data systems, and excellent communication skills. The role offers competitive benefits and a supportive team environment.

Data Engineer: Build Scalable Pipelines & Insights in City of London employer: Prevail

As a strategic advisory firm located in the heart of London, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With competitive benefits, opportunities for professional growth, and a commitment to developing cutting-edge data solutions, we offer a rewarding environment for Data Engineers looking to make a significant impact in their field.
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Contact Detail:

Prevail Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer: Build Scalable Pipelines & Insights in City of London

✨Tip Number 1

Network like a pro! Reach out to current employees at the firm or similar companies on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your data engineering projects, especially those involving AWS services. This will help us demonstrate our expertise and make a lasting impression.

✨Tip Number 3

Practice makes perfect! Get ready for technical interviews by brushing up on data modelling and pipeline design. We can even do mock interviews with friends to build confidence.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.

We think you need these skills to ace Data Engineer: Build Scalable Pipelines & Insights in City of London

Data Engineering
AWS Services
Data Infrastructure Design
Scalable Data Pipelines
Data Modelling
Actionable Insights
Collaboration Skills
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with AWS services and data modelling. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing relevant projects!

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 mission. Keep it concise but impactful – we love a good story!

Showcase Your Communication Skills: Since collaboration is key in this role, make sure to highlight your communication skills in your application. We want to know how you’ve worked with teams in the past to turn data into actionable insights.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our supportive team environment!

How to prepare for a job interview at Prevail

✨Know Your Data Engineering Basics

Make sure you brush up on your data engineering fundamentals. Understand how to design scalable data infrastructures and be ready to discuss your experience with AWS services. They’ll likely ask you about specific projects, so have a couple of examples ready that showcase your skills.

✨Showcase Your Problem-Solving Skills

Be prepared to tackle some real-world scenarios during the interview. They might present you with a data challenge and ask how you would approach it. Think through your problem-solving process and communicate it clearly; they want to see how you think on your feet!

✨Communicate Effectively

Since excellent communication skills are a must for this role, practice explaining complex data concepts in simple terms. You might need to collaborate with non-technical teams, so being able to convey your ideas clearly will set you apart from other candidates.

✨Research the Company Culture

Take some time to understand the strategic advisory firm’s values and culture. This will help you tailor your responses to align with their mission. Plus, it shows that you’re genuinely interested in the role and the company, which can make a great impression!

Data Engineer: Build Scalable Pipelines & Insights in City of London
Prevail
Location: City of London

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  • Data Engineer: Build Scalable Pipelines & Insights in City of London

    City of London
    Full-Time
    36000 - 60000 £ / year (est.)
  • P

    Prevail

    50-100
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