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- Tasks: Enhance data functions and deliver insights for institutional clients in investment management.
- Company: A leading UK investment management firm focused on innovation.
- Benefits: Full-time role with competitive salary and opportunities for professional growth.
- Why this job: Join a collaborative team and make a real impact in financial services.
- Qualifications: Strong SQL, Excel, and Python skills; experience in financial services preferred.
- Other info: Dynamic environment with a focus on data integrity and performance reporting.
The predicted salary is between 48000 - 72000 £ per year.
A UK investment management firm is seeking a Senior Data Engineer to enhance its data function and deliver high-quality insights for institutional clients. This mid-senior role involves developing data processes, managing data integrity, and supporting performance reporting in a collaborative environment.
The ideal candidate will have strong SQL, Excel, and Python skills, with a preference for experience in financial services. This is a full-time opportunity with a focus on innovation in investment management.
Senior Data Engineer — Investment Operations & Analytics in London employer: Synchronicity Group
Contact Detail:
Synchronicity Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Investment Operations & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to connections in the investment management sector and let them know you're on the hunt for a Senior Data Engineer role. A friendly chat can lead to insider info or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your SQL, Excel, and Python projects. When you get that interview, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Stay updated on industry trends! Read up on the latest in investment operations and analytics. Being able to discuss current challenges and innovations during interviews will demonstrate your passion and knowledge.
✨Tip Number 4
Apply through our website! We make it super easy to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Data Engineer — Investment Operations & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL, Excel, and Python skills prominently. We want to see how your experience aligns with the role, especially in financial services, so don’t hold back on those 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 of delivering high-quality insights for institutional clients.
Showcase Your Collaborative Spirit: Since this role involves working in a collaborative environment, share examples of how you've successfully worked with teams in the past. We love seeing candidates who thrive in teamwork settings!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in investment management!
How to prepare for a job interview at Synchronicity Group
✨Know Your Data Tools
Make sure you brush up on your SQL, Excel, and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to solve problems or improve processes. This will show that you not only have the technical skills but also know how to apply them in a real-world context.
✨Understand the Financial Landscape
Since this role is within investment management, it’s crucial to have a solid understanding of the financial services sector. Familiarise yourself with current trends and challenges in the industry. This knowledge will help you demonstrate your passion for the field and how you can contribute to their goals.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about past experiences where you had to manage data integrity or develop data processes. Prepare to explain your thought process and the outcomes of your actions clearly and concisely.
✨Show Your Collaborative Spirit
This role emphasises collaboration, so be prepared to discuss how you’ve worked effectively in teams. Share examples of how you’ve supported colleagues or contributed to group projects, especially in a data-driven environment. Highlighting your teamwork skills will resonate well with the interviewers.
