Data Scientist | Onsite

Engineering International Belgium; Bardi; On-site; EUR 45,000 - 70,000; Full time

Job summary

Engineering International Belgium is seeking a software-focused data analytics engineer to contribute to development, maintenance and documentation of Python-based tools for data collection, data engineering and analytics.

You will participate in data science projects led by ECAT staff, tackle requirement analysis, software development, testing and documentation, and engage in project meetings with stakeholders.

Qualifications

• Experience developing Python libraries, software and services.
• Experience implementing best practices for software testing (unit, integration, UAT, negative and stress tests).
• Experience deploying tools and services with APIs using DevOps practices and CI/CD (e.g., GitLab).
• Experience debugging Python applications and deployment issues (environments, dependencies, drivers, networking, GPU).
• Experience with containerization/orchestration (Docker, Kubernetes).
• Ability to stay up to date with ML/data science libraries and tools.
• Ability to write clear technical documentation in English.

Responsibilities

• Develop, maintain and document Python-based data analytics tools and services.
• Lead data science projects and assume software engineering tasks (requirements, development, testing, documentation).
• Participate in project update/review meetings with stakeholders.

Skills

Python development

Software testing

CI/CD

GitLab

Python debugging

Docker

Kubernetes

ML libraries

Technical writing

Data pipelines

Test automation

Tools

Python libraries/services

Job description

DESCRIPTION OF THE TASKS

• 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