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About the Role
As our Senior Data Engineer, you'll own AQEMIA's data platform end to end, from ingestion through the pipeline to trusted, model-ready datasets that power science, ML, and analytics. This role is distinctive due to the nature of the data, which includes chemical structures, molecular conformations, physics- and ML-based predictions, and experimental results. You will work at the intersection of software engineering, data infrastructure, and scientific research, with significant scope to shape architecture. As AQEMIA moves toward more service and API-driven integration, you'll help make data fit for automation, expanding your impact from pipelines to the systems that consume them.
Responsibilities
- Own AQEMIA's Bronze → Silver → Gold data pipelines end to end, from ingestion through transformation and delivery, maintaining lineage and traceability as data volume and complexity grow.
- Model canonical scientific entities, compounds, structures, assays, predictions, establishing identity, provenance, and trustworthy lineage across heterogeneous and often messy sources.
- Set and uphold data quality standards through monitoring, validation, testing, and alerting across critical pipelines, strengthening governance and observability so datasets stay trusted and accessible.
- Partner with ML engineers, data scientists, and researchers to build curated, model-ready datasets, translating scientific and business requirements into scalable data solutions.
- Drive data architecture and engineering best practices, data modeling, testing, documentation, orchestration, and deployment, in collaboration with the Engineering Manager and Staff Data Engineer on roadmap execution.
- Build self-service capabilities and, looking ahead, APIs that make data fit for automation as AQEMIA moves toward more service-based integration.
- Uphold engineering quality through code reviews, and mentor junior engineers by sharing knowledge and best practices as a senior individual contributor.
Requirements
- Deep experience in data engineering, with a track record of production systems that other teams depend on.
- Strong software engineering skills; you code, you review code, and you hold a quality bar.
- Expert in Python and SQL.
- Strong data modeling and relational database experience; you can defend an identity key.
- Production experience with a cloud warehouse (Snowflake) and a transformation framework (dbt).
- Experience with workflow orchestration (Airflow) and infrastructure-as-code (Terraform on AWS).
- Any STEM degree or equivalent experience.
Skills
- Python
- SQL
- Data Modeling
- Relational Databases
- Snowflake
- dbt
- Airflow
- Terraform
- AWS
Location
- Paris
- London
Work Type
- Flexible work arrangements
- Up to two remote days per week
Experience Level
- Senior
Education Level
- Any STEM degree or equivalent experience
Benefits
- Impact on changing the way drugs are discovered
- Opportunity to shape the direction of a fast-growing company and team
- Work alongside exceptional talent at the intersection of technology and life sciences
- Collaborations with top Pharma, including a $140M Sanofi deal
- Prime Location with Flexibility
- Strong Financial Backing: $100M raised from leading European and International investors
About the Company
- AQEMIA 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.
- 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.
- 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.
- The Engineering team 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.
- AQEMIA is proud to be part of the French Tech 40 and France 2030, highlighting our role as a key player in Europe’s DeepTech ecosystem.
Equal Opportunity
- We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.