Data Engineer - Commodities | New York- Leading Global Hedge Fund | New York, NY, USA

Oxford Knight; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

A globally recognized hedge fund is seeking a Data Engineer to enhance their growing data engineering team, focused on supporting the Commodities business. The role involves designing data platforms, automating ETL processes, and collaborating in a fast-paced environment. Ideal candidates will have strong financial data knowledge, solid coding skills, and experience with large datasets.

Benefits

Market-leading salaries + bonus

Collaborative work culture

Entrepreneurial feel of a small firm

Qualifications

• 3+ years' Python experience.
• Experience with databases, SQL, and stored procedures.
• Knowledge of cloud technologies and data infrastructure.

Responsibilities

• Design, implement, and evolve the data platform.
• Automate and support ETL processes from market data vendors.
• Work with quant PMs and researchers.

Skills

Python

SQL

Java/C++

NoSQL databases

big data technologies

Education

BS in Computer Science

Engineering

Statistics

Job description

Data Engineer wanted for systematic arm of globally recognised hedge fund to join the growing Data Engineering team where you will support the Commodities business. This opportunity will give you the chance to design, implement and evolve the data platform, including pipeline, repository, data warehouse and data access APIs. You will be working closely with the quant PMs and researchers in a fast-paced environment as you automate and support the Extract, Transform, and Load (ETL) processes from various market data vendors.

They are looking for a passionate engineer with strong financial data knowledge, including security master, financial time series (pricing data, etc.) across multiple asset classes, You'll need to have solid coding skills (Python, Java/C++, SQL), and experience working with large datasets.

If you eat, sleep and breathe data, and have fantastic interpersonal skills, this role is perfect for you!

Requirements

• 3+ years' Python experience
• Broad knowledge & experience of database concepts with proficiency in SQL and stored procedures
• Knowledge of NoSQL databases and big data technologies
• Solid experience working with cloud or on-prem technologies and data infrastructure, e.g. workflow management engines, databases, storage & file systems, analytics platforms
• Experience processing large and complex datasets
• BS in Computer Science, Engineering, Statistics, or related subject

Desirable

• Experience with any of the following: designing and implementing real-time pipelines; data quality and validation; Kafka; Java/C++/Rust/Go
• Experience with traditional and/or alternative datasets in the Commodity space

Benefits

• Work directly with all parts of the fund
• Market-leading salaries + bonus
• Entrepreneurial feel of a small firm with the infrastructure, technology and support that comes with a large company
• Inclusive, collaborative work culture

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you feel you are a strong match for this role, please don't hesitate to get in touch:

Greg Leigh-Jones
[e-mail]
[phone]
linkedin.com/in/greg-jones-8a457011a

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