Python Developer

Harrington Starr; Greater London; In loco; GBP 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

Harrington Starr is seeking a software engineer to develop and maintain robust data pipelines and integrate market data feeds for a cutting-edge financial technology platform.

You will optimise storage, retrieval, and performance while building advanced data visualisation applications. The role focuses on scaling the data platform and delivering high-performance access for analytical software.

Competenze

• 3-5 years experience in software engineering.
• Proficient in Python development.
• Experience with libraries/frameworks such as Pandas, Numpy, Scipy.
• Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect).
• Experience with cloud infrastructure (AWS, GCP, Azure).
• Familiarity with Plotly Dash for interactive data visualisations.

Mansioni

• Develop and maintain robust data pipelines.
• Integrate and manage market data feeds.
• Optimise data storage and retrieval processes for efficiency.
• Enhance and create advanced data visualisation applications.
• Play a pivotal role in supporting and scaling the data platform.
• Lead development of critical part of product architecture.

Conoscenze

Python programming

Strumenti

Pandas

Numpy

Scipy

Airflow

Prefect

Plotly Dash

AWS

GCP

Azure

Descrizione del lavoro

Explore the forefront of financial technology with a leader who specialises in buy-side brokerage services - their software provides portfolio managers with differentiated trade idea creation, optimisation, and execution services.

You will:

• Develop and maintain robust data pipelines.
• Integrate and manage market data feeds.
• Optimise data storage and retrieval processes for efficiency.
• Enhance and create advanced data visualisation applications.

Requirements:

• Proficient in Software Python Development.
• 3-5 years experience in software engineering
• Experience with libraries/frameworks such as Pandas, Numpy, Scipy, etc.
• Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect).
• Experience with cloud infrastructure (AWS, GCP, Azure).
• Familiarity with Plotly Dash for interactive data visualisations.

You will play a pivotal role in supporting and scaling their data platform, ensuring seamless data pipeline orchestration, storage and compute optimization, as well as providing high performance data access interface to support analytical software.

This is a fantastic opportunity to lead development of the critical part of product architecture.

If you're ready to contribute to pioneering solutions that shape the future of finance, we want to hear from you.