Python Developer

3 days ago

London Area, United Kingdom Creo Recruitment Full time £60,000 - £96,000 per year

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.

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