Data Scientist | Onsite

Engineering International Belgium; Ispra; On-site; EUR 55,000 - 90,000; Full time

Job summary

Engineering International Belgium in Lombardia is seeking a software engineer to develop, maintain and document data analytics applications, mainly in Python, and to contribute to data engineering and data collection tools.

You will participate in data science projects led by ECAT scientific staff, perform requirement analysis, development, testing and documentation, and stay up to date with ML libraries and modern deployment practices.

Qualifications

• Proven experience developing Python libraries and services.
• Strong focus on software testing across unit, integration and acceptance levels.
• Experience deploying tools/services with CI/CD (GitLab or similar).
• Ability to debug complex Python software and deployment issues.
• Experience with containerization/orchestration (Docker/Kubernetes).
• Commitment to learning ML libraries and data science tech.
• Clear technical documentation in English.
• Design and implement robust data pipelines for varied sources.
• Experience testing with regression and negative tests.

Responsibilities

• Develop, maintain and document software mainly in Python.
• Implement data analytics applications, data engineering and data collection tools.
• Participate in project meetings with stakeholders and ECAT staff.
• Analyze requirements, code, test and document software artifacts.
• Deploy tools and services applying DevOps and CI/CD practices.

Skills

Python

Software testing

DevOps

CI/CD

GitLab

Docker

Kubernetes

Data pipelines

English documentation

Tools

GitLab CI/CD

Docker

Kubernetes

Job description

• Development, maintenance and documentation software, mostly in python, with a focus on implementing and testing data analytics applications, data engineering and data collection tools.
• Participate in data science projects led by ECAT scientific staff, and assume responsibility for software engineering tasks, including among others, requirement analysis, software development testing and documentation.
• Participation in project update and review meetings and other meetings with project stakeholders.

KNOWLEDGE AND SKILLS

• Excellent software development skills, in particular, experience implementing python libraries, software and services.
• Demonstrated experience in implementing best practices for software testing, from unit and component testing to user acceptance, including negative testing and stress tests, to ensure software quality and reliability.
• Experience deploying software tools and services, including definition of APIs, using DevOps tools and practices, CI/CD practices, e.g. in Gitlab or similar environments.
• Experience in debugging complex software in python, and troubleshooting aspects related to the deployment of software, such as setting up execution environments, resolving dependencies, installing drivers, analysing networking aspects and using GPU hardware.
• Experience in containerization and orchestration technologies such as Docker, Kubernetes or equivalent for the deployment and scaling of data science applications.
• Ability and willingness to stay up to date with technologies and libraries for machine learning and data science.
• Ability to write clear technical documentation of software for users and other developers, in English language.
• Ability to design and implement robust data pipelines for the ingestion, cleaning, transformation and storage of diverse data sources.
• Strong experience in testing software, including frameworks for defining and automating software tests, including regression testing and negative testing