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- Tasks: Join a tech-first team to build data pipelines and drive automation on exciting projects.
- Company: Global private equity firm embracing innovative technology solutions.
- Benefits: Hands-on experience, collaboration with top professionals, and opportunities for growth.
- Why this job: Make an impact in finance while working on greenfield projects with cutting-edge tech.
- Qualifications: Strong Python skills, experience with Databricks, and good communication abilities.
- Other info: No CV needed to apply; we’ll help you with that later!
The predicted salary is between 60000 - 80000 £ per year.
Are you a Data Engineer in finance looking to work on greenfield projects? This is an opportunity to join a global private equity firm that is taking a tech-first approach. You’ll be working as a Data Engineer, closely with stakeholders across both investments and technology.
This is a hands-on role within the Data and Analytics team, where you’ll work directly with the investment team. You’ll be interfacing with the business regularly, so strong communication skills are important.
Day to day, you’ll be working on data integration, building data ingestion pipelines, and driving automation across various greenfield projects.
From a technical standpoint, you should have strong experience in Python and Databricks. Experience with React is a bonus.
As part of the process, you’ll meet with the CTO, investment partners, and the data engineering lead, so prior financial experience is required to hit the ground running.
This role is based in London.
Data Engineer at a Global Private Equity Firm in City of London employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer at a Global Private Equity Firm in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the finance and tech sectors, especially those who work at private equity firms. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for those interviews! Research the firm’s recent projects and be ready to discuss how your skills in Python and Databricks can contribute to their greenfield initiatives. Show them you’re not just another candidate, but someone who’s genuinely interested in their work.
✨Tip Number 3
Don’t underestimate the power of communication! Since you’ll be interfacing with the investment team, practice explaining complex data concepts in simple terms. This will showcase your ability to bridge the gap between tech and business.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to help you polish your CV once we’ve had a chat, so don’t stress about it just yet!
We think you need these skills to ace Data Engineer at a Global Private Equity Firm in City of London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data engineering! Share any relevant projects or experiences that highlight your skills in Python and Databricks. We love seeing candidates who are genuinely excited about the work they do.
Tailor Your Application: Make sure to customise your application to fit the role. Highlight your experience in finance and any greenfield projects you've worked on. This helps us understand how you can hit the ground running and contribute to our tech-first approach.
Communicate Clearly: Since strong communication skills are key for this role, ensure your application is clear and concise. Use straightforward language and structure your thoughts logically. This will give us a taste of how you might communicate with stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. It streamlines the process for both you and us, making it easier to connect. Plus, we’re here to help you refine your CV once we’ve had a chat!
How to prepare for a job interview at Saragossa
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Databricks skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Communication Skills
Since this role involves regular interaction with stakeholders, practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated with non-technical team members or clients.
✨Understand the Financial Landscape
Familiarise yourself with the private equity sector and current trends in finance. Being able to discuss how data engineering can impact investment decisions will show that you’re not just a techie but also understand the business side of things.
✨Prepare for High-Level Discussions
You’ll be meeting with the CTO and investment partners, so prepare to discuss your vision for data engineering in a financial context. Think about how you can contribute to greenfield projects and drive automation, and be ready to share your ideas.