Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Python Data Engineer PySpark Spark Finance Trading London

Joseph Harry
London
1 year ago
Applications closed

Related Jobs

View all jobs

Claims Data Scientist

Principal Data Engineer

Senior Data Engineer | Cambridge | Greenfield Project

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.