Senior Data Engineer - Global Data Lakehouse Solution

Thurn Partners; Paris; Sur place; EUR 60 000 - 100 000; Plein temps

Résumé du poste

An exceptional opportunity awaits for a Senior Data Engineer to join a leading systematic quant trading firm in Europe. This innovative organization is renowned for its data-driven investment strategies and has established itself as a top performer in the industry. You will take technical ownership of a scalable Data Lakehouse solution, collaborate on cloud infrastructure design, and develop data pipelines using Python. If you are passionate about building robust data platforms and eager to contribute to a rapidly growing firm, this role offers a unique chance to make a significant impact in a dynamic environment.

Qualifications

• 5+ years of experience in building data platforms, ideally in finance.
• Proven mastery in Python and SQL with a structured problem-solving approach.

Responsabilités

• Technical ownership of a global Data Lakehouse solution for trading desks.
• Developing data pipelines in Python and optimizing performance in AWS.

Connaissances

Python

SQL

AWS

Data Modelling

Data Pipeline Development

Problem-Solving

Description du poste

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.