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For Companies At a Glance
- Tasks: Transform raw data into insights for trading and investment teams.
- Company: Dynamic hedge fund managing over $17 billion, located in vibrant Soho, London.
- Benefits: Competitive salary up to £130k, bonuses, private healthcare, and family-friendly perks.
- Why this job: Join a small team and make a real impact in the financial sector with cutting-edge technology.
- Qualifications: Top-tier STEM degree, experience in data engineering, and strong Python/SQL skills.
- Other info: Full-time office role with a supportive culture and excellent career growth opportunities.
The predicted salary is between 78000 - 130000 £ per year.
Are you a tech savvy Data Engineer with a first class education? You could be progressing your career working on complex and challenging systems at a Hedge Fund with over $17 billion under management.
What's in it for you:
- Salary to £130k
- Significant bonus earning potential
- Fund performance share
- Personal training budget and mentoring
- Family friendly benefits that include unlimited emergency backup as well as care for elderly relatives
- Various social groups including sports teams
- Private healthcare and wellness activities
Your role:
As a Data Engineer you will join a small team responsible for understanding, managing and transforming raw data content from various 3rd parties for the trading team, investment quants and investment desk. Typical responsibilities will include combining and transforming raw data into useful insights, analysis and visualisations, interrogating various vendor data endpoints to source and analyse data, ensuring data consistency, completeness and accuracy across all platforms.
You will develop data dictionaries and other documentation and collaborate with technology teams to implement and enhance data systems and processes, keeping up to date with industry trends and emerging technology in data content and tooling.
Location / WFH:
You will join the team in fantastic London (Soho) based offices that offer a wide range of facilities including nutritionally balanced breakfast, lunch and all day snacks. Please note this role is full-time office based (Monday to Friday).
About you:
- You have an outstanding record of academic achievement - minimum 2.1 in a STEM discipline from a top tier university (i.e. Russel Group or top 100 global university), backed by A grades at A-level.
- You have experience in a similar Data Engineer role at a Hedge Fund and have a good understanding of financial markets and investment management.
- You have strong technical skills with Python and SQL, experience with version control and contributing to a shared codebase.
- You have experience with modern data tools and technologies including Apache Spark; Azure Databricks experience would also be great.
- You have a strong knowledge of data management principles and best practices.
- You have experience with data analysis, visualisation tools and techniques.
- You are able to convey complex data and technical information to front office traders.
Data Engineer Python SQL Spark employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer Python SQL Spark
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at a hedge fund. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back on showcasing your technical skills. Bring up your experience with Python, SQL, and Spark, and share examples of how you've transformed data into insights. Let your passion shine through!
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Think about how you can explain complex data concepts in simple terms. Remember, they want to see how you communicate with non-technical folks too!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying directly through us not only gives you a better chance but also keeps you in the loop with any updates or tips we might have for you!
We think you need these skills to ace Data Engineer Python SQL Spark
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and Spark, and don’t forget to mention any relevant projects or achievements that showcase your skills in data management and analysis.
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 your background aligns with our needs. Be sure to mention your understanding of financial markets and how you can contribute to our team.
Showcase Your Technical Skills: In your application, make sure to highlight your technical skills clearly. Mention your experience with modern data tools like Apache Spark and Azure Databricks, as well as any version control systems you've used. We want to see what you can bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and Spark 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.
✨Understand the Financial Landscape
Since this role is at a Hedge Fund, it’s crucial to have a solid grasp of financial markets and investment management. Familiarise yourself with current trends and be prepared to discuss how data engineering impacts trading strategies.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you can demonstrate your ability to transform raw data into actionable insights and how you ensure data accuracy and consistency.
✨Communicate Clearly
You’ll need to convey complex data concepts to non-technical team members, so practice explaining your past work in simple terms. This will show that you can bridge the gap between technical and non-technical stakeholders effectively.
