Senior Data Engineer

Thurn Partners; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading trading firm in Paris is seeking a Senior Data Engineer to join their Data Engineering team. This role involves designing and implementing software solutions in an AWS environment and developing robust data pipelines using Python and SQL. The ideal candidate has over 5 years of experience delivering scalable data systems, with a strong analytical mindset and the ability to work both independently and collaboratively. This position offers a full-time opportunity within a dynamic and rapidly expanding company.

Qualifications

• 5+ years of experience with proven track record of delivering scalable data systems.
• Strong analytical and structured problem-solving mindset.
• Comfortable working independently and proactively.

Responsabilités

• Design and implement software and infrastructure solutions in AWS.
• Develop robust data pipelines in Python.
• Ensure data quality and completeness across critical data flows.
• Focus on performance optimization of Data Lake and OLAP systems.

Connaissances

Python

SQL

C++

AWS

Analytical problem solving

Description du poste

Search Consultant | Introducing distinguished Technologists with Global Quant Trading firms

Company Insight

A well-established systematic trading firm, operating across multiple locations, is currently seeking a Senior Data Engineer to join the Data Engineering team in Paris. The opportunity involves building a global, scalable Data Lakehouse platform to support multiple trading desks across the organisation. Founded less than a decade ago, this firm is now at the forefront of technological innovation within the systematic buy-side and continues to expand rapidly by hiring talented technologists.

Responsibilities

• Design and Implement software and infrastructure solutions within a modern AWS cloud environment.
• Develop robust data pipelines in Python, leveraging leading data libraries and cloud SDKs.
• Apply data modeling principles across both Data Lake and OLAP architectures, handling large-scale, high-concurrency data access.
• Focus on performance optimisation of distributed Data Lake and OLAP systems, especially in cross-region setups.
• Ensure data quality and completeness across critical, high-availability data flows.
• Build and maintain bespoke data solutions tailored to the needs of quants and traders.

Qualifications

• 5+ years experience with proven track record of delivering scalable data systems.
• Expertise in Python and SQL is essential; familiarity with C++ is beneficial.
• Interest or experience in cloud infrastructure, particularly AWS.
• Strong analytical and structured problem solving mindset.
• Comfortable working independently and proactively, yet equally effective within a collaborative team environment.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Information Technology, Finance, and Engineering

Industries

Staffing and Recruiting