Data Production Engineer

Wehrtyou; Greater London; On-site; GBP 70,000 - 105,000; Full time

Job summary

Hudson River Trading is seeking a Data Production Engineer to join our Data team, focusing on building a modern Python data stack, onboarding and reconciling datasets, and ensuring data quality for quantitative research.

You will work with live trading teams, researchers, and external data providers to derive insights and support one of the world’s largest automated trading systems.

Qualifications

• 2+ years in data engineering or data science role, or a degree in data science or a similar discipline.
• Python experience strongly preferred.
• Experience managing ETL pipelines is a plus.
• Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus.
• Comfortable with the Linux command line.
• Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed.
• Able to provide technical support in a production trading environment.

Responsibilities

• Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
• Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
• Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
• Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Skills

Detail-oriented

Problem solving

Collaborative

Fast-paced environment

Education

Degree in data science or similar

2+ years in data engineering/science role

Tools

Python

ETL pipelines

PostgreSQL

MSSQL

MySQL

Linux command line

SQL dialects

Job description

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market.

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research.

Responsibilities

• Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
• Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
• Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
• Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

• Track record of being detail-oriented and thorough
• You excel in problem solving and researching large datasets to resolve complex issues
• You have a collaborative attitude that lends itself to cross-team customers and projects
• You thrive in the fast-paced environment of a daily live trading operation

Qualifications

• 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline
• Experience in Python strongly preferred
• Experience managing ETL pipelines is a plus
• Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
• Comfortable with the Linux command line
• Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
• Able to provide technical support in a production trading environment

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.