Mid-Level Python Developer – Data Processing (Hybrid)
Summary
6-month extendable contract role in Northampton (hybrid) for a Python developer building data-processing and transformation scripts with Pandas and NumPy. Day to day involves file handling across CSV/JSON/XML/APIs, unit and regression testing with unittest/pytest, and turning analytical requirements into documented, scalable solutions.
Information Technology & Services · 51-200 employees
Jul 28
python Senior (5-10 yrs) Contractor United Kingdom
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Design, develop, and maintain Python scripts for data processing and transformation using Pandas and NumPy. Collaborate with data teams to translate analytical requirements into scalable technical solutions and documented workflows.
What they look for
Python Pandas NumPy Unittest Pytest CSV JSON XML API Data Structures Algorithms Jupyter Notebooks SQL NoSQL Git Sonarcube
Requirements
Requires 6 to 8 years of experience with proficiency in Python programming, file handling, and testing frameworks. Candidates should have a strong understanding of data structures, algorithms, and version control tools like Git.
Job Type: 6 Months Contract (Extendable)
JOB DETAILS:
Python:
✅ Design, develop, and maintain Python scripts for data processing and transformation.
✅ Work extensively with Pandas and NumPy for data analysis and manipulation.
✅ Work experience in file processing libraries and other python libraries.
✅ Work extensively with testing frameworks (unittest / pytest).
✅ Manage structured and unstructured file handling using CSV, JSON, XML, and APIs.
✅ Collaborate with data analysts, data engineers, and other developers on project requirements.
✅ Develop and optimize algorithms for efficiency and scalability.
✅ Perform testing (unit testing, regression testing) to ensure high-quality software delivery.
✅ Translate analytical requirements into technical solutions and document workflows.
Essential Skills/Basic Qualifications:
✅ Proficiency in Python programming.
✅ Knowledge of file handling techniques in Python.
✅ Excellent analytical and problem-solving abilities.
✅ Good understanding of data structures and algorithms.
✅ Effective communication skills, both written and verbal.
✅ Ability to work independently and collaboratively in a team environment.
✅ Experience with Jupyter Notebooks or similar data science environments.
✅ Familiarity with databases (SQL/NoSQL).
✅ GIT/Any other version control tool & Sonarcube
✅ Understanding of SDLC/Agile methodology/Scrum/Agile Central/JIRA
✅ Easily adaptable to changes – work demands / schedules / management