Hire Python Developers
Python is used for web services, data processing, automation and scripting, and a developer who is strong in one of those may be average in another. So the first question we ask is which kind of Python work you have, because it decides who we propose.
Whoever that is will work in your repository and your communication channels, and you give them their priorities. We remain the employer and look after equipment and cover. Nobody stands between you and the engineer passing messages along.
The Python jobs that fit this model
Python covers a lot of ground. These six areas are where a dedicated back-end developer is most useful.
Web services in FastAPI, Flask or Django
Endpoints with typed request and response models, database access through SQLAlchemy or the Django ORM, authentication, and interactive documentation generated from the code.
Data pipelines
Scheduled jobs that collect files or API responses, clean them with pandas or Polars, and load them into a warehouse or database. Each run is logged, can be repeated safely, and reports bad rows instead of dropping them quietly.
Automation of office processes
Scripts that replace manual copying between spreadsheets, email, accounting software and internal systems. Small programs, but they need error handling and a clear owner just as much as large ones.
Scraping and document extraction
Collecting public data with Scrapy or Playwright and pulling fields out of PDFs. We respect robots rules and site terms, throttle requests, and tell you when a source does not permit automated access.
Turning scripts and notebooks into services
Code that ran on one laptop is given a package structure, pinned dependencies, configuration through environment variables, tests and a container image, so it can run unattended on a server.
Modernising an old codebase
Python 2 remnants, unpinned requirements, no type hints. We move to a supported Python 3 release, add a lock file, introduce type checking gradually and replace libraries that are no longer maintained.
Libraries and tools in daily use
The language is small; the ecosystem is large. These are the libraries and tools our developers rely on for back-end work.
- Web frameworks
- FastAPIDjangoFlaskStarlette
- Data handling
- pandasPolarsNumPySQLAlchemyPydantic
- Jobs and scheduling
- CeleryRQApache Airflowcron
- Storage
- PostgreSQLMySQLMongoDBRedisAmazon S3
- Testing and typing
- pytestmypyRuffHypothesistox
- Packaging and delivery
- uvPoetrypipDockerGitHub Actions
How experienced a Python developer you need
Python is forgiving, which means weak code still runs. Experience shows in what the program does when the input is wrong, the network is down or the file is ten times larger than expected.
Junior
Writes functions, small scripts and simple endpoints to a description. Follows the style of the surrounding code and adds tests when shown how. Should have every change reviewed.
Choose when: the work is divided into small pieces and you have a reviewer in place.
Mid-level
Builds a service or pipeline on their own: structure, dependencies, tests, logging and deployment. Uses type hints as a matter of habit and knows when a generator or a batch is needed to keep memory in check.
Choose when: you know what you want built and need someone to build it properly.
Senior
Chooses between threads, processes and asyncio for the workload in front of them, designs the data model, and sets the standards others follow. Finds the cause of a memory leak or a slow job by measurement.
Choose when: the system processes large volumes, other developers depend on the design, or there is no senior engineer on your side.
The path from enquiry to merged code
Explain the task
Say what the code should do, where it will run and which Python version you use. Sample input files or an existing script tell us more than a long document.
Speak with a specific developer
We match the kind of work to one engineer and send you their profile. The interview is between you and them. Ask for an alternative if you are not convinced.
Set a first assignment
Something that can be completed and judged on its own, such as one endpoint or one stage of a pipeline.
Keep a regular cadence
Tasks and progress are recorded in your own tracker. You receive a written update once a week and an invoice once a month.
What you pay for Python work
Our rates are published. Pick the role and move the sliders for an indicative budget.
Rate card
| Role | Hourly | Monthly* |
|---|---|---|
| Frontend / WordPress | AED 110 | AED 17,600 |
| Backend / API | AED 118 | AED 18,880 |
| Full-stack | AED 129 | AED 20,640 |
| Mobile (React Native / Flutter) | AED 129 | AED 20,640 |
| DevOps / Cloud | AED 147 | AED 23,520 |
| AI / Automation engineer | AED 165 | AED 26,400 |
| QA / Test engineer | AED 92 | AED 14,720 |
| UI / UX design | AED 103 | AED 16,480 |
*160 hrs/month full-time. Rates are indicative for planning, in UAE dirhams (converted from our US-dollar rates at the fixed peg of 3.6725), before VAT where applicable, and depend on seniority, contract length and timezone overlap. Longer engagements and multi-role teams are discounted — ask.
Is a remote Python developer right for this job?
We are a good choice when
- You have a steady flow of Python work across services, scripts or data jobs.
- Your analysts write Python and need an engineer to make their code production-ready.
- You want the same developer to stay with the codebase over time.
- You are a software company or agency needing more Python capacity for client work.
Look elsewhere when
- You need one short script and will not need changes to it later.
- The data may not leave a secured room or an isolated network.
- You are after research in machine learning. That is a different role with a different rate on our card.
- You want a price fixed in advance for work that has not been defined.
Before you hire: Python questions
We still have Python 2 code. Can you maintain or convert it?
We can convert it. Python 2 no longer receives security fixes, so we advise against keeping it. The conversion is mostly about strings versus bytes, integer division and replaced libraries, and it goes much more safely once tests exist.
FastAPI, Flask or Django for a new service?
Django when you need an admin site, user accounts and an ORM from the start. FastAPI for an API-only service where typed models and generated documentation matter. Flask for something small where you want to choose every part yourself.
Is Python fast enough for our workload?
For work that waits on databases and networks, yes. For heavy computation, the usual answer is to push the loop into NumPy, Polars or the database, or to spread it across processes. We profile before recommending any of these.
How do you manage dependencies?
With a lock file, so that every environment installs identical versions. We use uv or Poetry on new projects and adopt whatever an existing project already uses. Updates are applied deliberately and tested, not picked up by accident.
Do we own what is written?
Yes. The code goes into your repository under your account. Ownership and confidentiality are written into the agreement before the engagement starts.
Can we stop after a month?
You can. Engagements are monthly. Tell us before the following month begins, and the developer finishes or hands over open tasks with notes.
Tell us what the Python code has to do
Describe the job in a few sentences: the inputs, the expected result, and where it needs to run. Our reply arrives within one business day.