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.