Senior Engineer, Data Engineering
Senior Engineer, Data Engineering

Senior Engineer, Data Engineering

Temporary 100000 - 110000 £ / year (est.) Home office (partial)
DVF Recruitment

At a Glance

  • Tasks: Design and deliver high-quality data solutions using modern engineering practices.
  • Company: Leading asset management firm with a focus on innovation.
  • Benefits: Competitive salary up to £110,000, flexible working, and career development.
  • Other info: Fixed term contract with potential for growth in a vibrant London office.
  • Why this job: Join a dynamic team and shape the future of data engineering.
  • Qualifications: Experience with Databricks, Azure, and Python required.

The predicted salary is between 100000 - 110000 £ per year.

Brand New - Senior Data Engineering Role - FTC 12 Months - Leading Asset Management Firm

DVF are currently supporting a leading Asset Manager looking to hire a Senior Data Engineer, to drive the design and delivery of high-quality, reliable data solutions across modern data engineering practices within their newly formed data office.

Strong Hands on: Databricks, Azure (Data Factory), Python Experience.

This is a Fixed Term Contract (initially 12 months) based in London (x2-3 days), paying up to £100,000 (possibility to stretch to £110,000 dependant on experience).

Senior Engineer, Data Engineering employer: DVF Recruitment

As a leading Asset Management Firm, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and collaboration. Our London-based team offers competitive salaries, flexible working arrangements, and ample opportunities for professional development, ensuring that our employees can thrive both personally and professionally. Join us to be part of a forward-thinking organisation that values your contributions and supports your growth in the exciting field of data engineering.
DVF Recruitment

Contact Detail:

DVF Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Engineer, Data Engineering

✨Tip Number 1

Network like a pro! Reach out to connections in the asset management and data engineering space. Attend meetups or webinars to get your name out there and show off your passion for data solutions.

✨Tip Number 2

Prepare for those interviews! Brush up on your Databricks, Azure Data Factory, and Python skills. Be ready to discuss how you've tackled real-world data challenges and how you can bring that expertise to the new role.

✨Tip Number 3

Showcase your projects! Whether it's a GitHub repo or a portfolio, make sure you have something to demonstrate your hands-on experience. This will help us see your practical skills in action.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Senior Engineer, Data Engineering

Databricks
Azure Data Factory
Python
Data Engineering
Data Solutions Design
Reliability Engineering
Modern Data Engineering Practices
Hands-on Experience

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and Python. 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 excited about this Senior Data Engineer role and how you can contribute to our newly formed data office. Keep it engaging and personal!

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you approach problems and deliver high-quality solutions, 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 applications and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at DVF Recruitment

✨Know Your Tech Inside Out

Make sure you’re well-versed in Databricks, Azure Data Factory, and Python. Brush up on your technical skills and be ready to discuss specific projects where you've used these technologies. The more examples you can provide, the better!

✨Understand the Company’s Data Vision

Research the asset management firm and their approach to data engineering. Familiarise yourself with their recent projects or initiatives. This will help you tailor your answers and show that you're genuinely interested in contributing to their data office.

✨Prepare for Scenario-Based Questions

Expect questions that ask how you would handle specific data challenges. Think about past experiences where you’ve solved complex problems or improved data processes. Use the STAR method (Situation, Task, Action, Result) to structure your responses.

✨Ask Insightful Questions

At the end of the interview, have a few thoughtful questions ready. Inquire about the team dynamics, the tools they use, or upcoming projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Senior Engineer, Data Engineering
DVF Recruitment

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