Python Developer

Software Engineer – Python / Data / Cloud (Mid-Level)

London OR Manchester (hybrid)

Salary £50k-80k

We’re looking for a

Mid-Level Software Engineer

to join a high-performing squad building large-scale, data-intensive systems primarily in

Python

. You’ll work on distributed data pipelines that process

hundreds of millions to billions of rows

, contributing to backend development, data engineering workflows, and system performance.

You’ll collaborate closely with senior engineers and an Engineering Manager. The product itself is an AI/ML driven SaaS platform and your contributions will train new models, enabling new features and have large greenfield elements to it.

What You’ll Be Working On

Build and maintain backend services and data processing components in

Python

.

Work on large-scale data pipelines operating over huge datasets (hundreds of millions to billions of records).

Write performant

SQL

for data transformations, ETL workflows, and analytical use cases.

Contribute to discussions on architecture and design, focusing on scalability, cost, reliability, and performance.

Improve observability, testing, and overall system robustness.

Participate in incident reviews and continuous improvement initiatives within the squad.

Tech You’ll Work With

Python

(primary language)

SQL

Large-scale data workflows

(ETL, transformation, analytics)

Parquet

and columnar data formats

Cloud environments

— experience with

any

major cloud provider is great

AWS

experience (Redshift, Lambda, ECS, S3) is

nice to have

, not required

GCP / Azure backgrounds are equally welcome

What You’ll Bring

Solid professional experience developing in

Python

.

Strong SQL skills and comfort working with large or complex datasets.

Experience with any major cloud platform (AWS, GCP, Azure, etc.).

Exposure to data pipelines, distributed processing, or analytical data systems.

A focus on code quality, testing, and reliability.

Curiosity, problem-solving ability, and a collaborative approach.

What Success Looks Like

You deliver clean, scalable Python code that handles large data volumes effectively.

You contribute to improving data pipelines, performance, and system reliability.

You participate actively in design discussions, planning, and squad rituals.

You help strengthen testing, observability, and operational excellence.

You continually learn and take on more ownership as part of a tight, high-performing squad.