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For Companies At a Glance
- Tasks: Join us as a Senior Data Engineer, building scalable data solutions for trading desks.
- Company: Be part of a top-performing quant trading firm known for its innovative tech-driven approach.
- Benefits: Enjoy competitive pay, remote work options, and a dynamic work environment.
- Why this job: Contribute to cutting-edge projects in a rapidly growing company with a strong reputation.
- Qualifications: 5+ years of experience in data platforms, with expertise in Python and SQL required.
- Other info: Ideal for independent thinkers who thrive in collaborative settings and love problem-solving.
The predicted salary is between 48000 - 84000 £ per year.
Company Insight
This is the opportunity for an exceptional Senior Data Engineer to join one of Europe's best performing systematic quant trading businesses. Since its inception, this firm has cemented a formidable reputation within the systematic trading space, having been recognised as one of 2024's top performing funds. This is an organisation that prides itself on its innovative data and tech driven investment approach implemented within their trading strategies. Such an unparalleled scientific approach has allowed the firm to build next-generation, scalable and fault-tolerant multi-asset trading and backend systems, generating outstanding returns in the process and experiencing exponential growth.
Key Responsibilities
- Technical Ownership and Accountability building global and scalable Data Lakehouse solution used by multiple trading desks across the entire front-office.
- Contributing into software and infrastructure design and implementation in AWS cloud environment.
- Developing data pipelines in Python using data libraries and cloud SDKs.
- Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access.
- Optimizing performance of the data lake as well as OLAP databases in a cross-region environment.
- Ensuring data completeness and quality across critical pipelines.
- Build and support tailored data solutions for Quants and Traders.
Requirements
- ~5+ years minimum of experience and proven track record of building data platforms, ideally from a leading financial organisation.
- ~Proven Technical Mastery in Python and SQL.
- ~Hunger and Appetite to contribute into cloud infrastructure.
- ~Ability to build a structured approach to problem-solving.
- ~Independent and autonomous while still a strong team player.
- ~Intellectual curiosity to learn rapidly.
Senior Data Engineer - AWS employer: Thurn Partners
Contact Detail:
Thurn Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - AWS
✨Tip Number 1
Familiarise yourself with the latest AWS services and tools relevant to data engineering. Being well-versed in AWS can set you apart, especially since this role involves building scalable solutions in the cloud.
✨Tip Number 2
Showcase your experience with Python and SQL by discussing specific projects or challenges you've tackled. Highlighting your technical mastery in these areas will resonate well with the hiring team.
✨Tip Number 3
Demonstrate your problem-solving skills by preparing examples of how you've approached complex data challenges in the past. This will illustrate your structured approach and ability to think critically.
✨Tip Number 4
Express your enthusiasm for continuous learning and intellectual curiosity. This role values individuals who are eager to grow and adapt, so sharing your recent learning experiences can make a positive impression.
We think you need these skills to ace Senior Data Engineer - AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building data platforms, particularly in a financial context. Emphasise your technical mastery in Python and SQL, as well as any relevant projects that showcase your skills in AWS.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their innovative data-driven approach and mention specific experiences that demonstrate your ability to contribute to their data lakehouse solutions.
Showcase Problem-Solving Skills: Provide examples in your application that illustrate your structured approach to problem-solving. Highlight situations where you have optimised performance or ensured data quality in previous roles, especially in high-volume environments.
Highlight Team Collaboration: Since the role requires both independence and teamwork, include instances where you've successfully collaborated with others, particularly in cross-functional teams. This will show that you can work well with Quants and Traders while also being self-sufficient.
How to prepare for a job interview at Thurn Partners
✨Showcase Your Technical Mastery
Be prepared to discuss your experience with Python and SQL in detail. Highlight specific projects where you've built data platforms, especially in a financial context, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Cloud Knowledge
Since the role involves working in an AWS environment, brush up on your cloud infrastructure knowledge. Be ready to discuss your experience with AWS services and how you've implemented solutions in the cloud, particularly around data lakes and pipelines.
✨Problem-Solving Approach
Prepare to articulate your structured approach to problem-solving. Think of examples where you've tackled complex data issues or optimised performance in data systems, and explain your thought process clearly during the interview.
✨Exhibit Intellectual Curiosity
This company values a hunger for learning. Be sure to express your enthusiasm for new technologies and methodologies in data engineering. Share instances where you've proactively sought out new knowledge or skills that have benefited your work.
