Quality Analyst - Data Ingestion Squad

Quality Analyst - Data Ingestion Squad About us 💙 Implicity is a digital MedTech, that brings outstanding innovations to cardiologists, thanks to Big Data and Artificial Intelligence. Thanks to our leading cardiac remote monitoring platform, it’s way easier to manage data and predict patient issues, so that cardiologists can bring the best care at the best time. To put it simply, when you join Implicity, you’ll contribute to save lives with us 💓🩺 Dr Arnaud Rosier (cardiologist and AI researcher) & David Perlmutter (engineer and entrepreneur), co-founded Implicity in 2016. 10+ years later, a French Start-Up / Scale-Up 🐓 is a real game changer in the healthcare market, literally shaping the future of cardiology. 250+ hospitals / medical centers are already using our solutions, covering 100 000+ patients. 👩🏻👨🏿👱🏻 At Implicity, you will find the greatest experts in data science, engineering, clinical, regulatory, IT, sales, customers success, etc. working together. This amazing team already managed to make Implicity a clear European leader, and we will very soon do the same in the US market. In a nutshell, thanks to Implicity: 🏆 Patients get a far better care 🏆 Doctors’ life is far easier, they can have a far better focus on prevention/treatment, and not admin/data burden 🏆 Healthcare payers (Social Security in France) eventually pays a far lower price (preventing/monitoring instead of treating/hospitalizing) It can start as soon as you can! Job and recruitment context At Implicity, our Data Ingestion pipeline is the backbone of everything we do, ensuring that raw device data from thousands of cardiac monitoring devices reaches cardiologists accurately and reliably. As we scale our engineering organization, we have created a dedicated Data Platform Ingestion squad and looking for a QA Analyst to own quality end-to-end across our back-end data flows. Collaboration: You will work closely with Data Engineers, Software Engineers, Tech Lead, QA Automation Engineers, and the Product Manager of the Ingestion squad. 🧠 Your missions As a QA Analyst – Data Ingestion , your core mission will be to own the quality of our data ingestion pipelines, from raw device data to correctly transformed and stored outputs. You will: Back-end Pipeline Testing: Design and execute test plans on data ingestion pipelines, validate that raw data arrives in the expected format and is correctly transformed through each processing step. API & Message Broker Validation: Test REST APIs, validate data flow through RabbitMQ (and equivalent message brokers), and ensure integrity across services and databases. Database & Data Quality Validation: Query and validate data across SQL databases (PostgreSQL, MariaDB), BigQuery, and MongoDB to confirm accuracy and consistency post-ingestion. Release Management & Pre-prod Validation: Own the release acceptance testing process, deploy to preprod, validate, and sign off on quality before each production release. Performance Contribution: Identify and flag performance bottlenecks in ingestion flows; contribute to performance testing as the pipeline scales. Test Documentation & Repository: Maintain the test repository up-to-date in Xray — create, review, and version test cases for ingestion pipelines; provide clear and structured requirements for QA automation engineers to enable test automation. Our Technical Environment: Experience with all these stacks is not mandatory, just for information. Cloud Infrastructure: AWS Architecture: Microservices, Event-Driven patterns (RabbitMQ, message brokers) Databases: PostgreSQL, MariaDB, MongoDB, BigQuery Data Formats & APIs: JSON, REST APIs, web services Test Management: Xray Primary Languages/Frameworks: TypeScript (Node.js, NestJS for Backend) Containers & Orchestration: Docker, Kubernetes CI/CD: GitLab CI Observability: Prometheus, Grafana, Datadog 🥇 Your Profile and Mindset Experience Profile Seniority & Experience: 3–4 years of software testing experience in a cloud-based or data-intensive environment Education: Degree in Computer Science, Engineering, or equivalent Technical skills: Experience with backend validation techniques, including API and database checks, to ensure test coverage. Sector Experience (Bonus): Healthcare, Banking, Finance, or any regulated/data-heavy industry Mindset and Soft Skills Data-oriented mindset: you think about data flows, transformations, and edge cases naturally Technically curious: comfortable reasoning about back-end architecture without being a developer Rigorous and detail-oriented: you catch what others miss, especially in data integrity Agile-friendly: you thrive in a fast-paced sprint environment and adapt quickly to change AI usage: We value engineers who use AI-assisted tools (Cursor, Claude, Copilot). Health & Privacy (Bonus): Interest in healthcare data and familiarity with GDPR/HDS . Previous exposure to FHIR is a plus. A Note on Applying: We know the perfect candidate doesn't exist. If you believe you possess the core required experience and strongly align with this mindset, we highly encourage you to apply. Recruitment process 1 st HR Contact with Astrid (Recruiter) – 30-45 min Job & Technical Interview with Maria (Senior QA) – 60 min - G-meet Team Interview with the Technical Product Manager of the Team - 30 min - G-meet Fit & Vision Interview with Louay (CTO) - 1 hour - On-site Reference Check & Offer (usually follows within 72 hours 🤞) Depending on your availability, the recruitment process should last less than 3-4 weeks. General information 💰 Salary For this job (full-time), you have a base salary depending on your experience (around 55k per year) Employees stock option plan (BSPCE) subject to customary conditions 👍 Benefits Health care plan: Alan (50% employer) Luncheon voucher: 9€ (50% employer) Transport: 50% of your pass OR sustainable mobility pass 📍 Remote work & Location 3 days per week Location: 29 rue du Louvre, 75002, PARIS Département Tech Role QA Analyst Locations Paris Remote status Hybrid Yearly salary €55,000 Employment type Contract About Implicity Our mission is to improve clinic operations and the standard of care by harnessing the full power of data. Implicity aspires to transform cardiology practice and design predictive solutions for tomorrow by combining a state-of-the-art software technology with datascience, machine learning, and artificial intelligence. We combine our cutting-edge technology, our unique user-centric design and our regulatory knowledge to drive innovation in medical centers all over the world. Founded in 2016 Coworkers +100