Python Developer (Data Engineer)

Inetum inetum.com Open · verified Oct 24, 2026

On-site Lisbon Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Inetum. Lisbon · full-time.

Pay not stated Data Engineering salary

RoleData Engineering

SeniorityMid-level

LocationLisbon

WorkplaceOn-site

EmploymentFull-time

PostedApr 8, 2025 · 1y ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Refactor data engineers’ existing Python code and set consistent standards for modular, maintainable development
Write and run unit, integration, performance and regression tests to check code quality and resilience
Bring existing code forward to newer Python 3 versions while preserving compatibility
Improve data pipelines with engineering teams, applying distributed-computing methods to data processing
Automate build and deployment workflows with GitLab CI/CD, Jenkins, Docker and the named quality tools

What you bring

At least three years of Python development, with a grounding in object-oriented and modular programming
Strong command of SOLID design and hands-on experience refactoring code and testing it across several levels
Experience with distributed computing and data processing, plus Hadoop data modelling and structures
DevOps experience across CI/CD, source control, deployment automation, artifact management and containers

Who this fits

This mid-level role suits a Python developer comfortable improving data engineers’ code and collaborating with technical and non-technical teams. You’ll join a five-developer team, report to the Data domain manager and work on-site in Lisbon. The team follows Agile practices, including daily stand-ups, sprint planning and retrospectives.

From the employer

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Ability to work independently and take initiative to solve technical problems.

Excellent communication skills to effectively collaborate with technical and non-technical teams.

You will be part of a team of 5 developers and will report to the Data domain manager.

Analyze and refactor existing code primarily developed by data engineers.
Establish and maintain modular and clean development standards.
Experience with code reviews and provide feedback to improve code quality and development practices.
Write and execute unit tests, integration tests, performance tests, and regression tests to ensure code robustness and quality.
Ensure migration and compatibility with recent versions of Python 3 while managing the existing code.
Apply the SOLID principles of object-oriented design to ensure code quality and maintainability.
Work with tools and environments such as Cloudera to manage and optimize data.
Understand and apply distributed computing principles to optimize data processing and computation.

DevOps responsibilities:

Experience with GitLab CI/CD for automation of build and deployment processes.
Collaborate with data engineering teams to understand and improve existing data pipelines.
Implement Continuous Integration (CI) using Jenkins and Jenkins files/groovy, SonarQube
- Familiarity with SonarQube for code quality analysis.
Develop, deploy, and manage containerized applications using Docker.
- Understanding of deployment strategies using Virtuozzo Containers and Docker.
Knowledge of Cloudera platform and its integration with Python applications.
Experience with Jira API for task and project management.
Familiarity with Nexus Repository for artifact management.
Strong troubleshooting skills and ability to optimize performance.
Knowledge of package management with PyPI and pip.
Auto feed DEV, SIM, UAT envs

Methodology:

Work in an Agile methodology, participating in daily stand-ups, sprint planning, and retrospectives.

Proven experience (3+ years) in Python development, with a strong understanding of object-oriented and modular programming principles.

Good knowledge of Python 3 and the challenges associated with migrating from older versions.
Deep understanding of the SOLID principles of object-oriented design.
Expertise in code refactoring and improving code quality.
Proficiency in unit testing, integration testing, performance testing, and regression testing.
Experience with distributed computing principles and optimizing data processing (for example: Spark).
Understanding of data modelling and creating data structures on Hadoop.
Experience with big data environments, particularly Cloudera, is a significant plus.

DevOps skills: