Senior Data Engineer - Global Data Lakehouse Solution

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

Job summary

Join a leading systematic quant trading firm as a Senior Data Engineer. You will take technical ownership of building a scalable Data Lakehouse solution, develop data pipelines in Python, and optimize performance across trading desks. This role offers the chance to work in a dynamic environment focused on innovative data-driven strategies and exponential growth.

Qualifications

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

Responsibilities

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

Skills

Python

SQL

Problem-solving

Job description

Job Description

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 it's 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.