---
title: 'Senior Data Engineer at Aqemia'
canonical: 'https://feeny.ai/job/senior-data-engineer-aqemia-paris-ay2fz9mcagxp'
type: 'job'
last_seen: '2026-10-15'
---

# Senior Data Engineer at Aqemia

- **Company:** Aqemia
- **Location:** Paris, France
- **Work type:** hybrid
- **Posted:** 2026-09-23
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.lever.co/aqemia.com/86818f9e-f167-4adb-b689-e5fc82e7b9fd

## Job description

## 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 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.

## Qualifications

- Deep experience in data engineering, with a track record of production systems that other teams depend on. We care about what you have built, not the year count.
- Strong software engineering skills. You code, you review code, and you hold a quality bar.
- Expert in Python and SQL. - Strong data modelling and relational database experience. You can defend an identity key.
- Production experience with a cloud warehouse (we use Snowflake) and a transformation framework (we use dbt).
- Experience with workflow orchestration (we use Airflow) and infrastructure-as-code (we use Terraform on AWS).
- Any STEM degree or equivalent experience.

Nice-to-have

- Experience with AWS.
- Experience with infrastructure-as-code (Terraform) and modern data warehousing (e.g. Snowflake, BigQuery, Redshift) and object storage.
- Experience in drug discovery, biotech, pharma or deeptech environments.
- Exposure to AI-driven or data-intensive workflows, or experience working across disciplines (e.g. biology ↔ ML ↔ chemistry).
- Experience implementing data governance, lineage and metadata management solutions.
- Track record of improving platform scalability, reliability and operational maturity.

Our recruitment process

- First discussion with our Talent Acquisition
- Hiring Manager’s interview: you’ll meet directly with your future manager
- Technical assessment of your skills in a deep-dive interview with the team
- VP interview to share wider team vision and align motivations
- Cultural fit interview with our co-founder and COO, Emmanuelle
- Final interview with our co-founder and CEO, Maximillien

Why Join Us? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal. World-Class Interdisciplinary Team : work alongside exceptional talent at the intersection of technology and life sciences. Our teams combine deep expertise in AI, physics-based modeling, biology, and medicinal chemistry to push the boundaries of innovation. DeepTech Recognition: 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. Prime Location with Flexibility : Our offices are located in the heart of Paris and London (King’s Cross), with flexible work arrangements including up to two remote days per week. Strong Financial Backing : $100M raised from leading European and International investors

## About Aqemia

## Company Overview
- **One-liner**: Aqemia is a Paris-based drug discovery company combining generative AI and deep physics to invent novel medicines for difficult-to-treat diseases.
- **Entity Type**: Private (venture-backed, post-Series A)
- **Headquarters**: Paris, France (with a London, UK office at 29-31 Euston Road)
- **Founded**: 2019
- **Founders**: Maximilien Levesque (CEO, physicist, former professor at École Normale Supérieure/CNRS) and Emmanuelle Martiano-Rolland (COO, former Principal at Boston Consulting Group)

## Core Business
- **Primary Industry**: Biotechnology Research / AI-driven drug discovery
- **Target Customers**: B2B — large pharmaceutical and biotech companies via partnerships, plus wholly owned proprietary drug programs
- **Mission**: To invent new medicines — never me-toos — tackling major diseases such as oncology, using physics-based generative AI to discover drug candidates beyond the reach of traditional R&D, without dependence on experimental data.

## Products & Services
- **QEMI Platform**: A proprietary drug discovery engine fusing fast, atomic-scale physics with state-of-the-art generative AI to predict drug-target affinities and design novel molecules rapidly and accurately. The platform removes the need for experimental training data, enabling frugal, scalable discovery.
- **Wholly Owned Drug Pipeline**: A portfolio of proprietary programs demonstrating superior efficacy and non-toxicity in vivo, with lead programs progressing through optimization.
- **Partnered Programs**: Collaborations with leading pharmaceutical and biotech companies, alongside plans to spin out drug candidates into biotech spin-offs for clinical trials.
- **Moonshot Programs**: Indication-first initiatives targeting single diseases with high unmet medical need, running multiple shots on goal across different targets.

## Market Standing
- **Valuation**: Not disclosed
- **Annual Revenue**: USD 7.1M (latest available estimate)
- **Total Funding**: USD 119.7M across 8 rounds, including:
  - Pre-Seed (2019): USD 1.2M led by Elaia
  - Series A (May 2021): USD 10.8M led by Eurazeo
  - Series A (Jan 2021): USD 10.2M
  - Series A (Oct 2022): USD 19.5M led by Bpifrance
  - Grant (May 2025): USD 7.4M from France 2030
- **Notable Investors/Partners**: Eurazeo, Bpifrance, Elaia, France 2030; collaborations with top pharmaceutical companies
- **Growth Signals**: Headcount of 76 employees (+13.2% YoY); workforce distributed across France (63%), UK (24%), and Switzerland (1%); part of the French Tech 120 program; 22,927 LinkedIn followers (+38.6% yearly); 11 active job postings with +37.5% monthly growth

## Competitive Advantages
- **Deep Physics Foundation**: Built on 12+ years of academic research in theoretical physics at CNRS, École Normale Supérieure, and the Universities of Oxford and Cambridge; recognized by the American Institute of Physics with 40+ peer-reviewed publications.
- **No Experimental Data Dependence**: Unlike conventional AI drug discovery, Aqemia's algorithms do not require experimental training data, enabling faster, cheaper, and more innovative molecule discovery.
- **Scalable Engine**: The QEMI platform allows the company to pursue dozens of drug candidates simultaneously, including "moonshot" programs targeting high-unmet-need diseases.
- **Frugal, Efficient Discovery**: Physics-first approach scales drug discovery cost-effectively, making it attractive for both proprietary and partnered programs.

## Strategic Focus
- Scaling the pipeline to dozens of wholly or partly owned drug candidates and placing them into a constellation of biotech spin-offs for clinical trials.
- Balancing broad exploration across multiple targets with indication-first "moonshot" programs in high unmet need areas.
- Expanding collaborations with top pharmaceutical companies while growing proprietary programs.
- Continuing to recruit exceptional talent across life sciences, AI, software engineering, computational chemistry, and drug discovery in Paris and London.

## Why Work Here
- **Culture**: Mission-driven, strongly collaborative international team at the crossroads of technology and life sciences; values collaboration, ownership, and meaningful impact.
- **Work Model**: Hybrid — full-time contracts in Paris and/or London.
- **Engineering & Science Culture**: Multidisciplinary team (Research 41%, Technical 17%) with a flat-ish seniority mix (Specialist 33%, Senior 14%, Manager 13%); talent sourced from top institutions including ENS, Inria, BenevolentAI, Exscientia, and BCG.
- **Compensation Benchmarks**: Software Engineer EUR 50,320/year; MLOps Engineer EUR 69,104/year; Intern Software Engineer EUR 15,634/month.
- **Open Roles (sample)**: Senior Software Engineer, Staff Software Engineer, Senior Data Engineer, Engineering Manager - Compute Team, AI R&D Manager, Computational Chemist, Drug Discovery Program Leader, Senior People Operations Partner.
- **Employer Rating**: 3.4/5 from 21 reviews (Work-Life 3.6, Compensation 3.6, Culture 3.4, Career 3.5).
- **Impact**: Direct contribution to inventing new medicines for unsolved diseases, with science moving fast and everyone contributing to the drug discovery pipeline.

## Sources
1. [aqemia.com - Who We Are](https://aqemia.com/who-we-are)
2. [aqemia.com - Careers](https://aqemia.com/careers)
3. [aqemia.com - Pipeline](https://aqemia.com/pipeline)
4. [jobs.lever.co - Aqemia Open Roles](https://jobs.lever.co/aqemia.com)
5. [linkedin.com - Aqemia Company Page](https://linkedin.com/company/aqemia)
6. [welcometothejungle.com - Aqemia](https://www.welcometothejungle.com/fr/companies/aqemia)

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