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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, Industrials L/S Equities - London - **Company:** Balyasny Asset Management L.P. - **Location:** Greater London, UK - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Airflow, Amazon Web Services, Data Analysis, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Visualization, Electronic Mailing, Github, Python (Programming Language), PostgreSQL, NumPy, Standard Sql, SQL Databases, Data Streaming, Tableau (Software), Unstructured Data, Data Ingestion, Snowflake, AWS ECS, Pandas, Kubernetes, Information Technology, Data Analytics, Real Time Data, Apache Kafka, Streamlit Framework, Data Pipelines, Docker, Jenkins - **Published:** August 26, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815281127-data-engineer-industrials-ls-equities-london ## About the Role * 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, * 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 ## Description Balyasny Asset Management is looking for an exceptional data engineer would must have experience in a Data Engineering role already in either other funds/ banks 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. Key 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 Must have * 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. Please 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Vectorize all the things! 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