SPUE - L/S Data Engineer - London

Balyasny Asset Management LP

London

21 hours ago

Create job alert

Balyasny Asset Management is looking for an exceptional data engineer to work with an Industrials portfolio team in London on projects related to infrastructure management, data analysis and data-driven idea generation. We are looking for someone with expertise in Data Engineering & Data Analytics who is interested in applying their skillset to a markets facing role. This is an excellent opportunity to take full ownership of a fundamental investment team's data pipeline at a leading hedge fund, offering hands‑on experience to work at the intersection of data analysis and investing.

Responsibilities

Collaborate with Analysts and Portfolio Manager to develop creative uses for data in the investment process
Collect structured and unstructured data from various sources (e.g., websites, PDF documents, e‑mails, etc.), clean, transform and store this data in a format and in a storage location that ease the consumption of this data for analysis (e.g., Excel)
Identify opportunities to improve existing infrastructure, such as optimizing data storage solutions or streamlining the data ingestion process to increase the volume, velocity, and variety of the ingested data
Develop and expand team data infrastructure to capture new data streams and automate the end‑to‑end ETL/ELT process
Support investment decisions through independent research on various new datasets, pinpointing trends, correlations, and patterns in complex datasets
Effectively communicate technical details and insights to non‑technical team members
Take complete ownership of data pipeline as a fully integrated member of the team

Qualifications

Bachelor's or master's degree in computer science, Mathematics, Physics or quantitative field from top schools
Prior training in a quantitative scientific field that uses computational data analysis (e.g., computer science, statistics, applied mathematics, physics, engineering, economics/econometrics, chemistry/biology)
1 to 5 years of experience in building and managing ETL/ELT data pipelines
Proficient in Python3 with a strong focus on the most common data libraries (e.g., pandas, NumPy) and SQL
Experience with Apache Airflow for workflow management
Proficient with Microsoft Excel
Knowledge of the Amazon AWS data ecosystem
Expertise in setting up, maintaining and fine‑tuning SQL databases (e.g., PostgreSQL and Snowflake)
Excellent communication skills, with the ability to explain technical concepts to non‑technical users
Attention to detail and exceptionally motivated, hard‑working, and a self‑starter combined with the highest integrity and character

Nice to Have

Experience with data visualization tools such as Tableau or Streamlit
Experience with Docker and containerized architectures (e.g., Kubernetes, AWS ECS)
Experience with real‑time data‑streaming e.g. Kafka
Experience with GitHub and Jenkins
Basic understanding of markets and financial statements

Only apply if your profile fits the listed requirements. Understand that we have a large volume of applicants and cannot reply to each one. Thanks for your interest in Balyasny. If your profile is suitable, we will reach out.

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