AQEMIA
AQEMIA

Senior Data Engineer

Resumen del puesto
Indefinido
Paris
Salario: No especificado
Unos días en casa
Competencias y conocimientos
Contenido generado
Colaboración y trabajo en equipo
Teamwork
Terraform
Aws
Sql
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AQEMIA
AQEMIA

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Descripción del puesto

About AQEMIA

AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline.

Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology.

Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates—without relying on experimental data.

We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization.

About the team you’ll join:

As a Senior Data Engineer, you will join the Data Engineering Team and play a key role in designing, building and running a modern, reliable, and scalable Data Platform for Aqemia’s engineering teams. You will also guide and support engineering teams in structuring their data pipelines and assets, ensuring best practices in data modeling, architecture, and governance. With your expertise, you will be instrumental in scaling our data infrastructure to support our cutting-edge drug discovery efforts.

Key Responsibilities

  • Design and implement scalable data models to support analytical and scientific workloads.
  • Define and implement the relevant data architecture and technology stack for Aqemia.
  • Build a scalable, efficient and reliable data infrastructure.
  • Ensure data quality on the entire flow.
  • In a data mesh-oriented organisation, provide engineering teams with the right tools and best practices to develop their own pipelines and data assets.
  • Support engineering teams in data pipeline and data asset design, ensuring data is structured for our different use cases (exploration, HPC, visualisation)
  • Bring deep Data Engineering expertise into projects, from design to delivery.

    • Qualifications

  • 5+ years of experience as a Data Engineer or Software Engineer.
  • Strong experience in data modeling, in both relational and non-relational database context.
  • Knowledge of Cloud infrastructure and products (AWS preferred, other cloud experience is a plus).
  • Strong understanding of data engineering building blocks (storage, orchestration, governance).
  • Hands on experience on Data Quality best practices.
  • Proficiency in Python or another object-oriented programming language.
  • Experience in designing and delivering technical projects from end to end.
  • Nice to have:
  • Proficient in SQL and database optimisation.
  • Experience with backend engineering and integrating data systems.
  • Experience with infrastructure-as-code techniques (e.g. Terraform).
  • Knowledge of ML Ops and DevOps best practices.
  • Strong communication skills to interact with technical and non-technical stakeholders, translating business needs into scalable data solutions.

    • Preferred Mindset

  • Ability to set a technical vision for the team and align it with company objectives.
  • Collaborative Leader: Thrives in an interdisciplinary environment and values teamwork.
  • Pragmatic and Impact-Driven: Balances scientific rigor with real-world application.
  • Growth-Oriented: Invests in the development of team members and fosters a culture of continuous learning.
  • Passionate about pushing the boundaries of physics-based drug discovery.

    • 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.

    Interdisciplinary Team : brilliant talent from tech and life sciences.

    DeepTech Recognition: Part of French Tech 120 and France 2030.

    Prime Location : Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week.

    International Environment : The work language is English - relocation support and French lessons granted if needed.

    Strong Financial Backing : $100M raised from leading European and International investors

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