Python Dev: Data Pipelines & Automation Manufacturing

Experis; Birmingham; On-site; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Lunch Fridays

Annual bonus

Christmas bonus

25 days holiday

Company pension

Cycle to work

Employee discount

Free onsite parking

Job summary

Experis is recruiting an experienced Python Developer to join a growing manufacturing business in Birmingham on-site. The role focuses on developing, supporting and enhancing internal applications, data pipelines and APIs, with a strong emphasis on reliability and business value.

You will work with Python, React, TypeScript, SQL and cloud platforms (GCP) to build scalable solutions, drive CI/CD and contribute to data analytics initiatives.

Qualifications

• Minimum 5 years' software development experience.
• Hands-on experience with Python, React, TypeScript, SQL, FastAPI, BigQuery, MongoDB and GCP.
• Experience with APIs, integrations, cloud deployment and data pipelines.
• Strong SQL and data modelling skills.
• Knowledge of CI/CD, testing and production support.
• Ability to communicate effectively with both technical and non-technical stakeholders.

Responsibilities

• Develop and support internal applications, APIs, integrations and data pipelines.
• Troubleshoot and resolve issues across web applications, databases and cloud platforms.
• Drive automation initiatives to reduce manual processes and improve efficiency.
• Translate business requirements into scalable technical solutions.
• Contribute to code reviews, testing, CI/CD and release processes.
• Support the ongoing development of reporting, analytics and AI-enabled solutions.

Skills

Python

React

TypeScript

SQL

FastAPI

BigQuery

MongoDB

GCP

Job description

Experis is recruiting an experienced Python Developer to join a growing manufacturing business in Birmingham on-site. The role focuses on developing, supporting and enhancing internal applications, data pipelines and APIs, with a strong emphasis on reliability and business value.

You will work with Python, React, TypeScript, SQL and cloud platforms (GCP) to build scalable solutions, drive CI/CD and contribute to data analytics initiatives.