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Python Data Engineer PySpark Spark Finance Trading London

Joseph Harry
London
11 months ago
Applications closed

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Machine Learning Engineer with Data Engineering expertise

Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London.

Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London.

You MUST have the following:

Strong experience as a Python Data Engineer/Developer/Software Engineer/Programmer Excellent Python PySpark Excellent data engineering AWS, GCP or Azure Agile

The following is DESIRABLE, not essential:

Iceberg Airflow or Dagster Dremio or DBT Java Finance

Role: Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You will join a team that has built a number of front-office investments trading analytics applications and need to better align them to an existing AWS data lake and future data mesh architecture. The team are Java based and so you will bring Python and PySpark experience to contribute towards this initiative. They will also be looking at the use of tooling such as Iceberg, Airflow, Dagster, Dremio, DBT, Glue and Athena. These are not essential, only 'nice-to-have' technologies. This is also an excellent opportunity to enter into finance without any prior experience. As the department grows, there may also be the opportunity for more senior roles in the future.

There is a very flexible working from home policy with peopleing to the office 1-2 times/month.

This is an environment that has been described as the only corporate environment with a start-up/fintech attitude towards technology. Hours are 9-5.

Duration: 12-24 months

Rate: £600- 900/day

Job ID AGN

National AI Awards 2025

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