At a Glance
- Tasks: Support trading teams by resolving user issues and ensuring data reliability.
- Company: Leading high-frequency trading firm with a tech-focused approach.
- Benefits: Competitive salary, industry-leading bonuses, and generous benefits package.
- Other info: Enjoy a fun office culture with regular social activities and career growth opportunities.
- Why this job: Join a dynamic team and make a direct impact in a fast-paced environment.
- Qualifications: 3+ years in a similar role with strong Python skills and collaboration abilities.
The predicted salary is between 63000 - 77000 £ per year.
This is a fantastic opportunity to work at a tech-focused market maker with groundbreaking success in the high frequency trading space. They're now seeking a motivated data reliability engineer with strong Python skills.
You'll join Global Data Engineering in London; a highly talented team with a dedicated focus on supporting the Trading teams. This role offers the opportunity to combine hands-on engineering with high-impact operations.
As first-line support for the trading environment, you will be the point of contact for traders, researchers, and other internal users. You can expect a varied workload, including investigating and resolving user issues, addressing data quality concerns, working with vendors and managing alerts. You will also cover integrating new datasets, configuring quality controls, and ensuring pipelines and APIs are robust, scalable, and production-ready.
The successful Data Operations Engineer will have outstanding collaboration skills, with strong operational instincts: taking ownership of issues, communicating clearly under pressure and caring deeply about system reliability.
Requirements- 3+ years' experience in a similar role in a high-performance/time-sensitive environment (e.g. Data Engineer, SRE, Software Engineer, Data Operations)
- Strong proficiency in Python, including libraries such as Pandas, Arrow & Spark
- Solid understanding of data modeling, normalization, and API development for large-scale analytical or trading systems
- Experience with Lakehouse architectures (e.g. Delta Lake, Databricks, AWS)
- Exposure to real-time and historical market data (e.g. fixed income/Credit, ETFs, equities)
- Great base salaries and industry-leading bonuses
- Truly flat structure and highly collaborative culture, within a fun, stimulating office environment
- Generous benefits package, including commuting expenses, breakfast and lunch facilities, regular social activities and more
- Direct business impact with short feedback loop
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Data Operations Engineer Data SRE- Leading High Frequency Trading Firm employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
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