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- Tasks: Join us as a Data Engineer/BI Developer, working on exciting data projects in capital markets.
- Company: Be part of a leading investment bank in London, shaping the future of finance.
- Benefits: Enjoy hybrid work options and competitive pay while developing your skills.
- Why this job: Dive into a dynamic culture with impactful projects in trading and risk management.
- Qualifications: Bring your SQL skills and programming knowledge; experience in finance is a plus!
- Other info: This is a contract role inside IR35, perfect for those looking to make a mark.
The predicted salary is between 60000 - 84000 £ per year.
Senior Data Engineer/Power BI Developer – sought by investment bank based in London – Contract – Hybrid
*inside IR35 – umbrella*
Essential:
- Proven experience in a Data Engineeringor BI Developer
- Strong understanding of front-office trading, risk, or market data(not back-office finance or regulatory reporting).
- Proficiency in SQL and at least one programming language (e.g., Python, Scala).
- Experience with BI tools such as Power BI, Tableau, or Qlik.
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures.
Desirable:
- Background in financial services, particularly within investment banking or asset management.
- Experience working with time-series data and real-time data processing.
- Knowledge of risk metrics (VaR, Greeks, PnL attribution) and trading instruments (equities, derivatives, FX, etc.)
Please apply within for further details – Matt Holmes, Harvey Nash
#J-18808-Ljbffr
Data Engineer/BI Developer - Capital Markets employer: Harvey Nash Group
Contact Detail:
Harvey Nash Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer/BI Developer - Capital Markets
✨Tip Number 1
Make sure to brush up on your knowledge of front-office trading and market data. Understanding the nuances of these areas will help you stand out during interviews, as they are crucial for the role.
✨Tip Number 2
Familiarise yourself with the latest BI tools like Power BI, Tableau, or Qlik. Being able to discuss recent projects or features you've worked on with these tools can demonstrate your hands-on experience.
✨Tip Number 3
If you have experience with cloud platforms like Azure, AWS, or GCP, be prepared to discuss specific projects where you utilised these technologies. This will show your practical knowledge and adaptability in modern data architectures.
✨Tip Number 4
Consider brushing up on risk metrics and trading instruments relevant to the role. Having a solid understanding of concepts like VaR, Greeks, and PnL attribution will give you an edge in discussions with potential employers.
We think you need these skills to ace Data Engineer/BI Developer - Capital Markets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Engineer or BI Developer, focusing on relevant projects that demonstrate your proficiency in SQL and programming languages like Python or Scala. Mention any specific experience with front-office trading and market data.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the role at the investment bank and how your background in financial services aligns with their needs. Highlight your familiarity with BI tools such as Power BI and your experience with cloud platforms.
Showcase Relevant Skills: When detailing your skills, emphasise your understanding of risk metrics and trading instruments. If you have experience with time-series data and real-time data processing, make sure to include that as well.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in the data engineering field.
How to prepare for a job interview at Harvey Nash Group
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and any programming languages you know, like Python or Scala. You might be asked to solve a technical problem on the spot, so brush up on your coding skills and be ready to demonstrate your knowledge.
✨Understand the Financial Context
Since the role is within an investment bank, it's crucial to have a solid understanding of front-office trading and market data. Familiarise yourself with key concepts like risk metrics and trading instruments to show that you can speak the same language as the team.
✨Familiarity with BI Tools
Make sure you can discuss your experience with BI tools such as Power BI, Tableau, or Qlik. Be ready to provide examples of how you've used these tools to derive insights from data and support decision-making processes.
✨Cloud Knowledge is Key
As cloud platforms are essential for this role, ensure you can talk about your experience with Azure, AWS, or GCP. Highlight any projects where you've implemented modern data architectures, as this will demonstrate your ability to work in a hybrid environment.
