Data Engineer

Jane Street; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading trading firm in London is seeking a Data Engineer to understand and manage data that informs trading decisions. You will analyze datasets, automate ETL processes, and collaborate with traders. Ideal candidates should possess top-notch programming skills, particularly in Python, and have experience with SQL and data visualization. Training provided for those lacking finance experience.

Qualifications

• Top-notch programming skills in any language (Python a plus).
• Experience with using SQL and relational databases.
• Experience with generating data visualizations.
• Meticulous approach to data quality and validation.
• Clear and concise communication skills.

Responsibilities

• Understand, clean, manage, and share data that guides our trading.
• Analyze datasets checking for anomalies and matching formats.
• Automate ETL processes to facilitate traders.

Skills

Programming skills

SQL

Data visualization

Data quality and validation

Communication skills

Job description

Overview

We are looking for a Data Engineer who can help us understand, clean, manage, and share the data that guides our trading. At Jane Street, having a thorough and accurate understanding of data is at the core of the work we do.

Using our mix of in-house and open-source software, you will analyse datasets gathered from a variety of sources, checking for anomalies, matching formats and symbologies, automating ETL processes, and generally making it easier for our traders to generate valuable insights.

You should be excited about digging deep into datasets and explaining your findings to different types of colleagues, working collaboratively with traders and software engineers.

While prior experience with financial data would be nice, we don’t expect you to have a finance background. We’re happy to hire talented engineers and teach them what they need to know.

About You

• Top-notch programming skills in any language (Python a plus)
• Experience with using SQL and relational databases
• Experience with generating data visualizations
• Meticulous approach to data quality and validation
• Clear and concise communication skills; able to efficiently analyse and deconstruct technical problems