Lead Data Engineer for Trading Systems (Remote)

Mondrian Alpha; England; On-site; GBP 500,000 - 600,000; Full time

Job summary

A leading diversified trading firm in London is seeking a Data Engineering Lead to spearhead data initiatives in a high-performance environment. This role involves leading a team of engineers while staying closely engaged in technical work. Candidates should have deep experience in big data, strong expertise in Python, and a background in financial markets. This is a unique opportunity to directly influence trading strategies across global markets, making it ideal for data leaders passionate about technology.

Qualifications

• Deep experience with big data platforms, data pipelines, and scalable infrastructure.
• Strong hands-on expertise in Python and some Java.
• Proven track record leading small teams while staying technically engaged.
• Background in financial markets, ideally across delta-one, store of value, or FICC options trading.
• Experience with Linux-based, concurrent, low-latency systems.
• Familiarity with Airflow/Dagster, Kafka, Delta Lake/Apache Iceberg, and relational databases.
• Exceptional communication skills.

Responsibilities

• Lead and mentor a team of 5–7 engineers while being hands-on.
• Design and maintain large-scale data infrastructure.
• Drive development of APIs for data retrieval.
• Partner with traders and engineers to ensure seamless data flow.
• Own data products end-to-end.
• Support critical trading systems with on-call responsibilities.

Skills

Big data platforms

Data pipelines

Python

Java

Linux systems

Airflow/Dagster

Kafka

Delta Lake/Apache Iceberg

Relational databases

Education

Degree in Computer Science, Mathematics, Engineering, or equivalent

Job description

A leading diversified trading firm in London is seeking a Data Engineering Lead to spearhead data initiatives in a high-performance environment. This role involves leading a team of engineers while staying closely engaged in technical work. Candidates should have deep experience in big data, strong expertise in Python, and a background in financial markets. This is a unique opportunity to directly influence trading strategies across global markets, making it ideal for data leaders passionate about technology.