QA Intern - Database Testing & Query Automation à Paris, France

Opensee is an AI-powered data solution for financial institutions, providing interactive data quality, aggregation, analytics, and reporting. Our platform enables banks, hedge funds, and asset managers to interactively explore and analyze massive datasets swiftly and precisely. With Agensee, our Agentic AI solution, users can engage with their data in real time using natural language, whether within the Opensee platform or as a standalone AI layer on their existing infrastructure. By unlocking instant insights, automation, and scalable analytics, Opensee transforms decision-making and operational efficiency for the financial industry.

Headquartered in Paris, with offices in London, Frankfurt, New York, and Singapore, we are proud to work with a trusted client base across banks, hedge funds, and asset managers.
Learn more at https://jobeax.com/link/3gnKihR6UdsXbrFm .

About us

A culture of collaboration

At Opensee, you’ll work in an open and supportive team.

Team spirit and innovation

Work in a diverse environment where innovation and creativity are highly valued.

A growth-oriented environment

Benefit from a wealth of development opportunities as we constantly seek new talents to join us, and support our growth. Develop expertise in one of the most advanced solutions for risk aggregations.

Avantages

Missions

Internship Objective

We are seeking a motivated and curious QA Intern to help us enhance our automated testing framework with advanced database connectivity. You’ll work with Python, SQL, and QA tools to design a lightweight framework that connects to and executes queries on multiple databases deployed via Docker and Kubernetes across distributed servers.

Your mission

• Develop Python-based utilities to connect to different types of databases (PostgreSQL and Clickhouse).
• Create and run queries to validate data consistency, accuracy, and performance across environments.
• Understand and improve existing QA test suites.
• Write and optimize SQL queries for validation and performance checks.
• Ensure automated tests run seamlessly across multiple distributed environments (Docker/Kubernetes).
• Collaborate with QA engineers and developers to expand test coverage.
• Document your work and share best practices with the team.

Profil

Good to have

• Academic background in Computer Science, Software Engineering, or related field.
• Solid foundation in Python programming.
• Understanding of database structures and relational models.
• Proficiency in SQL for querying and validation.
• Familiarity with Git and version control.
• Strong problem-solving and communication skills.

Even if you don’t meet all the listed skills, don’t hesitate to apply. Internships are all about learning and growing, and we’re flexible — what matters most is your motivation and curiosity.

Bonus Skills

• Experience with Databases.
• Knowledge of Docker, Kubernetes, or distributed systems.
• Familiarity with data validation and test automation frameworks (pytest/playwright).
• Exposure to CI/CD tools (GitLab CI, Jenkins, GitHub Actions).

What We Offer

• Hands-on experience with modern QA engineering practices.
• Mentorship from experienced QA engineers & developers.
• Opportunity to build tools used in real-world testing pipelines.
• Access to internal resources and exposure to AI-assisted workflows.

Position type: Full-time position

Start date: As soon as possible (flexible)

Mandatory internship agreement, preferable a final-year internship

Recruitment process

HR interview: 30’

Technical interview: 1 hour

Manager interview: 1 hour