Senior Data Engineer - Global Data Lakehouse Solution

ZipRecruiter; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading quant trading firm in London seeks a Senior Data Engineer to build scalable data solutions. This role involves technical ownership of data platforms and optimizing performance for trading desks. Ideal candidates will have a strong background in Python and SQL, alongside experience in cloud environments.

Qualifications

• 5+ years experience in building data platforms, ideally in finance.
• Proven technical mastery in Python and SQL.

Responsibilities

• Build global and scalable Data Lakehouse solutions for trading desks.
• Develop data pipelines in Python using data libraries and cloud SDKs.
• Optimize performance of data lakes and OLAP databases.

Skills

Python

SQL

Problem-Solving

Job description

Job Description

Company Insight

This is an 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 recognized as one of 2024's top performing funds. This organization 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 and experiencing exponential growth.

Key Responsibilities

• Technical ownership and accountability for building a global and scalable Data Lakehouse solution used by multiple trading desks across the entire front office.
• Contributing to software and infrastructure design and implementation in an AWS cloud environment.
• Developing data pipelines in Python using data libraries and cloud SDKs.
• Data modeling within the scope of Data Lake and OLAP, handling large volumes and highly concurrent data access.
• Optimizing the performance of the data lake as well as OLAP databases in a cross-region environment.
• Ensuring data completeness and quality across critical pipelines.
• Building and supporting tailored data solutions for Quants and Traders.

Requirements

• 5+ years minimum of experience with a proven track record of building data platforms, ideally within a leading financial organization.
• Proven technical mastery in Python and SQL.
• Hunger and appetite to contribute to cloud infrastructure.
• Ability to adopt a structured approach to problem-solving.
• Independent and autonomous, yet a strong team player.
• Intellectual curiosity and a rapid learning ability.