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- Tasks: Join a dynamic team as a Data Engineer, delivering data solutions for informed investment decisions.
- Company: A leading multi-strategy hedge fund in London, focused on technology and innovation.
- Benefits: Enjoy free breakfast and lunch, plus private healthcare for you and your family.
- Why this job: Be part of a high-performing firm that values your contributions and fosters growth.
- Qualifications: Strong SQL Server experience, ETL proficiency, and knowledge of Power BI required.
- Other info: Ideal for those with a passion for data engineering in finance.
The predicted salary is between 43200 - 72000 £ per year.
My client, a leading multi-strategy hedge fund, is seeking a mid-level Data Engineer to join their dynamic and rapidly growing team based in London. This is an exciting opportunity to join a high-performing investment firm that places technology and innovation at the core of its operations. You’ll play a key role in empowering the front-office investment team through the delivery of data solutions - enabling informed decision-making across the board.
The successful individual will take ownership of MI & BI reporting and data analysis, partnering closely with front-office teams. Your work will support business-critical initiatives through the design, maintenance, and enhancement of ETL pipelines, while also contributing to the development of automation solutions to streamline key workflows.
You’ll also be responsible for:
- Migrating and enhancing business reports using Power BI
- Managing data ingestion into the firm’s data lake and data warehouse
- Troubleshooting data issues, performing log analysis, and owning resolution processes
- Supporting both manual and automated testing for new data solutions
- Engaging directly with stakeholders to gather reporting requirements and resolve ad-hoc data queries
Key skills & experience include:
- Strong experience in SQL Server / Azure SQL
- Proficiency in ETL processes and Microsoft SSIS or Azure Data Factory
- Experience working with Microsoft Excel and Power Query
- Knowledge of Power BI and DAX for modern BI solutions
- Programming experience in C# .NET is highly desirable
- Python and Azure DevOps familiarity are beneficial
- Exposure to data engineering within Financial Services, Asset Management, or Private Equity is a plus
My client are known for being strong payers in the market and they offer exceptional benefits, ranging from breakfast + lunch on-site (free for all staff) to private healthcare (for you + your family).
Apply now via the link below or send your resume directly to harvey.gilbert@mondrian-alpha.com.
Data Engineer - Leading Multi-Strategy Hedge Fund - London employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
harvey.gilbert@mondrian-alpha.com
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Leading Multi-Strategy Hedge Fund - London
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as SQL Server, Azure SQL, and Power BI. Being able to discuss your hands-on experience with these tools during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Network with professionals in the financial services sector, particularly those working in data engineering roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which you can leverage in your discussions.
✨Tip Number 3
Prepare to showcase your problem-solving skills by thinking of examples where you've successfully resolved data issues or improved processes. This is crucial as the role involves troubleshooting and enhancing data solutions.
✨Tip Number 4
Research the hedge fund's recent projects or initiatives that involve data engineering. Being knowledgeable about their current focus areas will allow you to tailor your conversation and show genuine interest in how you can contribute to their goals.
We think you need these skills to ace Data Engineer - Leading Multi-Strategy Hedge Fund - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL Server, ETL processes, and Power BI. Use specific examples to demonstrate your skills and achievements that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the financial services sector. Mention how your skills can contribute to the firm's goals and how you can empower the front-office investment team.
Highlight Technical Skills: Clearly list your technical skills, especially those mentioned in the job description such as SQL, Azure Data Factory, and Power BI. Provide context on how you've used these tools in previous roles to solve problems or improve processes.
Showcase Problem-Solving Abilities: Include examples of how you've troubleshot data issues or improved data workflows in past positions. This will demonstrate your analytical thinking and ability to engage with stakeholders effectively.
How to prepare for a job interview at Mondrian Alpha
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL Server, Azure SQL, and ETL processes during the interview. Be prepared to discuss specific projects where you've used Microsoft SSIS or Azure Data Factory, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Familiarise yourself with the hedge fund industry and how data engineering supports investment decisions. Being able to articulate how your role as a Data Engineer can empower front-office teams will show that you understand the bigger picture.
✨Prepare for Problem-Solving Questions
Expect questions that assess your troubleshooting skills, especially regarding data issues and log analysis. Prepare examples of past challenges you've faced and how you resolved them, as this will showcase your analytical thinking.
✨Engage with Stakeholders
Since the role involves direct engagement with stakeholders, be ready to discuss how you gather requirements and resolve queries. Share experiences where you've successfully collaborated with non-technical teams to deliver data solutions.
