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Data Engineer

Aurum Search Limited

London

On-site

GBP 60,000 - 85,000

Full time

7 days ago

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Job summary

Aurum Search Limited is seeking a skilled Data Engineer to join a leading multi-strategy hedge fund in London. In this role, you'll design robust data pipelines and collaborate with data scientists to drive investment decisions using cutting-edge technology. The ideal candidate will have a strong background in data engineering, adept in SQL and Python, and experience with cloud platforms like AWS or Azure.

Qualifications

2+ years of experience in data engineering, preferably within financial services.
Strong understanding of cloud platforms.
Experience leading a team of data engineers.

Responsibilities

Design, develop, and maintain robust data pipelines and ETL processes.
Collaborate with data scientists and analysts to support data-driven strategies.
Ensure data accuracy, consistency, and security.

Skills

SQL

Python

Big Data Tools (like Spark)

Problem-Solving

Education

Bachelor’s or Master’s in Computer Science, Engineering

Tools

AWS

GCP

Azure

Direct message the job poster from Aurum Search Limited

Join a leading multi-strategy hedge fund in London, where we leverage cutting-edge technology and data to drive investment decisions across diverse asset classes. We're looking for a skilled Data Engineer to play a crucial role in building and optimizing our data infrastructure.

Responsibilities:

Design, develop, and maintain robust data pipelines and ETL processes.
Collaborate with data scientists and analysts to support data-driven strategies.
Ensure data accuracy, consistency, and security across various data sources.
Lead a team of data engineers, providing mentorship and technical guidance.
Drive innovation by exploring new technologies and best practices in data engineering.
Partake in the on-call support rota.

Requirements:

Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
2+ years of experience in data engineering, preferably within financial services.
Proficiency in SQL, Python, and big data tools like Spark.
Strong understanding of cloud platforms (AWS, GCP, or Azure).
Excellent problem-solving skills and a collaborative mindset.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Financial Services, Investment Management, and Capital Markets

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