Python Engineer – Data Pipelines & Platform Development / 6 months contract

Python Engineer – Data Pipelines & Platform Development / 6 months collaboration

Role Overview
We are looking for a Python Engineer to support, maintain, and further develop our existing data and processing pipelines. The successful candidate will work closely with the team to understand current workflows, improve reliability and performance, troubleshoot issues, and build new pipeline capabilities as requirements evolve.

This role is well suited to an engineer who is comfortable working with existing systems, understanding complex data flows, and taking ownership of production-quality Python solutions.

Key Responsibilities
Support, maintain, and enhance existing Python-based pipelines.
Design and develop new pipelines and processing components based on business and technical requirements.
Investigate and resolve pipeline failures, data issues, and performance bottlenecks.
Improve the reliability, scalability, observability, and maintainability of existing solutions.
Develop clean, modular, well-tested, and documented Python code.
Implement appropriate error handling, logging, monitoring, and alerting.
Work with APIs, databases, file-based data sources, and external systems.
Optimize data processing and automation workflows.
Contribute to code reviews, testing, deployment, and engineering best practices.
Document pipeline architecture, dependencies, operational procedures, and troubleshooting processes.
Collaborate with technical and business stakeholders to translate requirements into robust technical solutions.

Required Skills and Experience
Good written and verbal communication skills In English.
Strong commercial experience with Python.
Experience with Pandas and data-processing libraries.
Experience developing and maintaining production-grade data or processing pipelines.
Good understanding of software engineering principles, including modular design, testing, version control, and code quality.
Excellent knowledge of Linux operating systems, with strong proficiency in command-line interfaces (CLI), shell commands, file system management, process management, permissions, networking tools, and troubleshooting in Linux environments.
Strong experience working with structured and semi-structured data, including formats such as JSON, CSV, and XML.
Experience integrating REST APIs and external services.
Good SQL skills and experience working with relational databases such as Postgres and SQLLite.
Experience with Git-based development workflows.
Experience with automated testing using tools such as pytest.
Strong debugging and problem-solving skills.
Ability to understand and improve an existing codebase with limited supervision.
Docker and containerized application development.
CI/CD pipelines and automated deployment processes.
Data validation and data quality frameworks.
Monitoring, logging, and observability tools.

You can send your CV to email