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Senior Data Engineer - Global Data Lakehouse Solution

Thurn Partners

Greater London

On-site

GBP 60,000 - 100,000

Full time

3 days ago
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Job summary

Join a leading systematic quant trading firm as a Senior Data Engineer. This role offers the chance to work on innovative data solutions and scalable trading systems, contributing to the firm's impressive growth. With a focus on building a global Data Lakehouse and optimizing data performance, you'll play a key role in shaping the future of trading technology. Ideal candidates will have a strong background in Python and SQL, along with a passion for problem-solving and cloud infrastructure. This is an exciting opportunity to be part of a top-performing team in the investment management industry.

Qualifications

  • 5+ years of experience in building data platforms in finance.
  • Proven mastery in Python and SQL with strong problem-solving skills.

Responsibilities

  • Build a global, scalable Data Lakehouse solution for trading desks.
  • Develop data pipelines in Python and optimize performance across regions.

Skills

Python
SQL
Cloud Infrastructure
Data Modeling
Problem-Solving

Job description

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Thurn Partners provided pay range

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Executive Search - Quant Engineering and Trading

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, recognized as one of 2024's top performing funds. The organization prides itself on its innovative data and tech-driven investment approach within their trading strategies. This scientific approach has enabled 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

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

Requirements

  • 5+ years minimum of experience with a proven track record in building data platforms, ideally within a leading financial organization.
  • Proven mastery in Python and SQL.
  • Interest and willingness to contribute to cloud infrastructure.
  • Structured problem-solving skills.
  • Ability to work independently and autonomously while being a strong team player.
  • Intellectual curiosity and rapid learning ability.
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Finance
Industries
  • Investment Management

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Locations include Basildon, England, United Kingdom, and London, England, United Kingdom, with recent postings from 18 hours to 2 months ago.

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