FinTech Python Data Engineer: Pipelines & Dash Visualizations

Harrington Starr; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python programming

Tools

Pandas

Numpy

Scipy

Airflow

Prefect

Plotly Dash

AWS

GCP

Azure

Job description

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.