Senior Data Engineer
Senior Data Engineer at AQEMIA (Paris) who designs and builds the data platform powering AI-driven drug discovery: scalable Python/SQL pipelines on AWS with Snowflake, dbt, and Airflow, plus modeling scientific data like chemical structures and experimental results.
- Compensation
- Not disclosed
- Location
- Paris, France
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years of experience in Data Engineering, Platform Engineering, or related infrastructure-focused roles
- Strong proficiency in Python and SQL with production-grade data systems experience
- Demonstrable interest in or experience with scientific data domains (computational chemistry, bioinformatics, life sciences)
- Experience designing and operating scalable data pipelines and data platforms
- Strong understanding of data modeling, analytical warehouse design, and modern data architecture principles
- Experience with cloud environments, preferably AWS
- Hands-on experience with Snowflake, dbt, and a workflow orchestrator such as Airflow
- Familiarity with DataOps practices: observability, testing, monitoring, deployment automation
- Experience collaborating with cross-functional stakeholders
- Strong problem-solving skills and ability to navigate complex technical environments
- Excellent communication skills, able to explain technical concepts to diverse audiences
Nice to have
- Experience supporting machine learning, scientific computing, or research-oriented environments
- Experience with workflow orchestration platforms and event-driven data architectures
- Experience implementing data governance, lineage, and metadata management solutions
- Track record of improving platform scalability, reliability, and operational maturity
- Experience mentoring engineers or shaping engineering best practices
Full description
About AQEMIAAQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which uniquely combines cutting-edge science with advanced technology. Powered by physics-based modeling, statistical mechanics, and generative AI, QEMI allows our teams to design novel drug candidates from first principles.
What makes AQEMIA different is our commitment to true innovation: our research is dedicated to the invention of new molecular entities, not the refinement of existing ones. We focus on inventing never-before-seen molecules , without relying on experimental data, and advancing them into a growing pipeline of proprietary programs and strategic partnerships with leading pharmaceutical companies.
Our most advanced preclinical programs are currently in vivo optimization , targeting diseases still waiting for effective treatments, offering our teams the opportunity to work on science that can make a real difference in people’s lives.
For more information, visitAQEMIA.com,ourWTTJ Page,and ourLinkedIn.
About our Team
AQEMIA brings together a diverse, multidisciplinary team of 80+ professionals based in Paris and London. Our scientists and engineers, including chemists, physicists, machine learning experts, and software engineers, work side by side to push the boundaries of early-stage drug discovery.
This close collaboration across disciplines is central to our approach, enabling us to tackle complex scientific challenges from first principles and translate cutting-edge ideas into novel therapeutic candidates. At AQEMIA, team members are encouraged to contribute their expertise, learn from one another, and play an active role in shaping the future of drug invention.
About our Engineering Department
The Engineering team (~12 people) builds and scales the technical foundations that power Aqemia’s drug discovery engine.
Bringing together expertise across software engineering, cloud infrastructure, data engineering, site reliability engineering (SRE), and scientific computing, the team designs and operates robust, secure, and high-performance platforms that enable Aqemia’s scientific and AI teams to experiment, train, deploy, and run models at scale.
Their work spans data infrastructure, scientific compute systems, cloud operations, orchestration, observability, CI/CD, developer tooling, and platform scalability. By transforming cutting-edge research into reliable and scalable systems, the team accelerates the discovery of new medicines while ensuring operational excellence and an outstanding developer experience.
The Role
As a Senior Data Engineer, you will play a key role in designing, building, and evolving AQEMIA’s data platform. You will work at the intersection of software engineering, data infrastructure, machine learning, and scientific research, enabling teams across the company to access trusted, scalable, and high-quality data.