Senior Data Engineer
Aqemia · 🌍 Paris
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Aqemia
This employer posted directly and does not match a government sponsor register.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Aqemia →
About the role
About AQEMIA 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. 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, visit AQEMIA.com, our WTTJ Page , and our LinkedIn . 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 our Senior Data Engineer, you'll own AQEMIA's data platform end to end — from ingestion through the pipeline to the trusted, model-ready datasets that power science, ML and analytics. What makes this role distinctive is the data itself: chemical structures, molecular conformations, physics- and ML-based predictions, and experimental results from CROs and partners. A core part of the work is modelling these scientific entities well — establishing canonical identity, provenance and trustworthy lineage across heterogeneous, often messy sources — so scientists, and increasingly AI agents, can rely on them. You'll work at the intersection of software engineering, data infrastructure and scientific research, with real scope to shape architecture rather than just execute against it. As AQEMIA moves toward more service and API-driven integration next year, 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 tran