Python Engineer

A Python Engineer writes, tests and maintains software using the Python programming language - typically back-end services, data pipelines, automation tools or the code behind machine learning systems. They work in a team of developers building something for a business: an internal platform, a customer-facing product, a trading or risk system, or the plumbing that moves and processes data. Most of the job is writing code, reviewing other people's code, and fixing things that break in live systems.

Starting salary: £28k–£40k
Live graduate jobs: 6 open now
Main way in: Graduate software engineering schemes
They usually ask for: A degree in computer science, software engineering, maths…

Approximate graduate salary

Typically somewhere around £28,000–£40,000 to start, though this varies a great deal. London, finance and the larger tech employers sit at or above the top of that range; smaller firms, agencies, charities and roles outside the big cities often sit below it. Public sector starting pay is generally lower than private sector, with other benefits in compensation.

What you'd actually do

Writing Python code against a ticket or user story - adding a feature to an API (an interface that lets other software request data or trigger actions), fixing a bug, or refactoring something that's become hard to maintain
Writing automated tests (commonly with pytest) and running them through a CI/CD pipeline - the automated system that checks and deploys code every time it changes
Reviewing teammates' pull requests on GitHub or GitLab: reading their changes, leaving comments, approving or asking for revisions - and having your own code picked apart in return
Attending a short daily stand-up and, depending on how strictly the team follows Agile ways of working, sprint planning and retrospectives every week or two

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Investigating something that has gone wrong in production - reading logs, reproducing the bug locally, tracing where a data job failed overnight
Working with cloud infrastructure: deploying to AWS, Azure or GCP, containerising an application with Docker, writing a scheduled job or a serverless function
Talking to the people who will use what you build - data scientists, analysts, traders, product managers - to pin down what they actually need, which is rarely what the original request said

How graduates get in

Graduate software engineering schemes - common at banks, insurers, consultancies, large retailers, telecoms and the bigger tech employers. These usually hire generalist engineers and let you land on a Python-heavy team rather than advertising 'Python Engineer' as a graduate title.
Direct application to a junior developer or junior Python developer role at a smaller company or startup. Very common, and often faster than a scheme, but you'll be expected to be productive sooner with less formal training.
Internships and placement years (a 'year in industry' during a four-year degree). This is one of the strongest routes - a good placement often converts straight into a graduate offer.
Civil Service Fast Stream digital and data routes, and direct junior developer roles across government departments and the NHS, where Python is widely used for data and services work.

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Conversion routes for non-computing graduates: an MSc in computer science or data science, or a coding bootcamp. Bootcamps do lead to jobs but outcomes vary enormously by provider and by how much you build on your own afterwards - they are not a guaranteed route.
Level 6 or Level 7 degree apprenticeships in software engineering or digital technology solutions - you're employed and studying at once. Not a graduate route as such, but a genuine alternative if you're reading this before university.

What employers ask for

A degree in computer science, software engineering, maths, physics or another quantitative subject is the most common background - but subject matters less than demonstrable coding ability. Plenty of Python engineers come from unrelated degrees with a strong portfolio or an MSc.
A 2:1 is the typical filter on structured graduate schemes; smaller firms and startups are far more likely to judge you on a technical test and your code than on your classification. Some larger employers have dropped degree classification filters entirely - it varies a lot.
Evidence you can actually write code outside coursework: a GitHub profile with real projects, open-source contributions, a dissertation involving substantial programming, hackathons, or paid freelance work. This matters more than any certificate.
Familiarity with the standard toolkit is usually expected or quickly learned on the job: Git for version control, SQL for querying databases, the command line, and at least one of the main Python ecosystems (web frameworks like Django or FastAPI, or the data stack of pandas and NumPy).

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No mandatory professional qualification exists. Cloud certifications (AWS, Azure) are nice to have and sometimes paid for by employers, but almost never a condition of entry.
Security clearance is required for defence, intelligence and some government work, which usually means UK residency for a set number of years. This rules out some roles for some candidates, so check early.

Skills that matter

Reading and understanding other people's code

You will spend more time working out how an existing codebase behaves than writing anything new, especially in your first year.

Debugging methodically

The core daily skill is forming a hypothesis about why something broke, testing it, and narrowing down - rather than randomly changing lines until the error goes away.

SQL and a working grasp of how databases behave

Most Python services sit on top of a database, and a query that looks fine can bring a system to a halt once there's real data volume in it.

Writing tests and thinking about failure cases

Teams judge code partly on whether it's safe to change later, and untested code is code nobody dares touch.

Explaining technical constraints to non-technical colleagues

You'll regularly need to tell a product manager or analyst why their request will take three weeks rather than two days, in terms they can act on.

Knowing when not to use Python

Senior engineers are trusted partly because they can tell when a problem needs a different language, a database feature, or an off-the-shelf tool instead of more code.

Putting these on a CV? We counted which skills 12,914 live graduate adverts ask for, and what to do with the answer — part of our application advice.

Where it leads

Junior / graduate engineer: you work on well-defined tickets with close code review and a mentor. Typically one to two years, though structured schemes often run for a fixed period of around two years before you're placed permanently.
Mid-level / software engineer: you own features end to end, are trusted to design small pieces of a system, and start reviewing juniors' work. Timeframes vary widely here - some people reach this in under two years, others take four.
Senior engineer: you lead the technical design of larger pieces of work, mentor others, and are involved in deciding what gets built and how. This is where most engineers stay long-term, and it is a perfectly normal destination rather than a waypoint.
A fork in the road: the technical track (staff or principal engineer, architect) where you stay hands-on and influence technical direction across teams, or the management track (engineering manager, head of engineering) where you look after people, hiring and delivery rather than writing code daily.
Common sideways moves: into data engineering, machine learning engineering, DevOps or platform engineering, security, or contracting. Some move into quantitative developer roles in finance, or leave to found or join early-stage startups.

What people get wrong

“If you know Python, you can get a Python Engineer job.”

Knowing the language is roughly the entry ticket. Employers are hiring for software engineering - version control, testing, deployment, databases, designing systems that other people can maintain. Someone who has only done tutorials and coursework exercises usually has a visible gap here.

“It's a solitary job where you put headphones on and code.”

A large slice of the week is other people: code review, stand-ups, pairing on a tricky bug, and arguing out a design. Engineers who can't explain their reasoning tend to stall at junior level regardless of how good their code is.

“'Python Engineer' means one consistent job.”

The title covers wildly different work. At one employer it means building web APIs and services; at another it means building data pipelines; at another it means productionising machine learning models; at another it means automation and scripting to glue systems together. Read the responsibilities, not the title, before applying.

“You need a computer science degree.”

It's the most common background and makes some applications easier, but it isn't a hard requirement at most employers. Maths, physics, engineering and self-taught routes are all well represented - what gets checked is whether you can pass the technical assessment and talk sensibly about code you've written.

Where this varies

The role differs sharply by sector. In finance (banks, hedge funds, fintech) Python work is often performance-sensitive and sits alongside C++ or Java, with strict change control and more formal process. In startups and scale-ups you're likely to touch everything - front end, infrastructure, even talking to customers - with little formal structure and more responsibility early. In data-heavy organisations the job is closer to data engineering: moving, cleaning and scheduling data rather than building user-facing products. In government and the NHS you'll find a strong emphasis on accessibility, open standards and documented service design, plus possible security clearance. Remote and hybrid patterns also vary widely: some engineering teams are fully distributed, while finance and defence employers often require substantial time on site.

See all 6 live Python Engineer jobsFrom employers' own careers sites, updated daily Tailor your CV for this roleFree with an account, 3 a month

General guidance about the role across the UK market, not about any specific employer. Entry routes and requirements vary — always check the individual job advert.