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AQEMIA
AQEMIA

Data Engineer

Indefinido
Paris
Unos días en casa
Salario: No especificado
Experiencia: > 4 años

AQEMIA
AQEMIA

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El puesto

Descripción del puesto

About the team you’ll join

As a Data Engineer, you will join the Data Engineering Team and contribute to design and build a modern, reliable and scalable Data Platform for Aqemia's engineering teams. 

You will also support engineering Teams to build their Data pipeline and assets.

This way, you will be instrumental in all engineering teams' success!

Your role as a data engineer at Aqemia

  • Contribute in defining the relevant Data Architecture and stack for Aqemia
  • Contribute to build the relevant Data infrastructure for Aqemia in AWS
  • In a data mesh oriented organization provide engineering teams with the right tools and practices to build their own pipelines and data assets
  • Support engineering team in designing their Data pipelines and assets
  • Bring the Data Engineering expertise in engineering projects from design to delivery

    • The competencies we are looking for

  • 4+ years experience as a Data or Software engineer in an engineering team of 4+ engineers
  • Knowledge of Cloud infrastructure and products (AWS, other cloud experience is a plus)
  • Good knowledge of Data Engineering building blocks (storage, orchestrator)
  • Fluent in object-oriented language development (ideally python)
  • Experience in delivering technical projects from start to finish

    • Preferred skills

  • Proficient in SQL
  • Experience in backend engineering
  • Experience in infrastructure-as-code techniques (ideally Terraform)
  • Knowledge in ML Ops and DevOps
  • You know how to interact with technical stakeholders

    • Preferred mindset

  • You are eager to play an active role in contributing to Aqemia’s strategy to develop drugs for patients.
  • You are anxious to bring your wealth of knowledge and skills to the table to inspire and coach brilliant people from diverse backgrounds.
  • You are keen to solve tough problems on issues that truly matter, with a proactive and a can-do attitude.
  • You thrive on working collaboratively in a fast-paced, interdisciplinary environment that keeps everyone on track.

    • Our recruitment process

  • 1 - Hiring Manager’s interview: you’ll meet directly with your future manager Benoît (1h, visio call)
  • 2 - Technical assessment of your skills: live coding exercise in Python (45min, visio call)
  • 3 - Technical assessment of your skills: system design collaborative exercise, plus a tour of our offices (1h, in office)
  • 4 - Cultural fit interview with our co-founder and COO Emmanuelle (45min)
  • 5 - Final interview with our co-founder and CEO Maximilien (45min)

    • About us

    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.

    - Our approach is completely unique in the industry, using AI & deep physics to discover new drugs

    - We are a team of +50 people from world-class institutions (AstraZeneca, GSK, Sanofi, Harvard, Ecole Normale Supérieure, Ecole Polytechnique, BCG...) and nationalities (working language is English).

    - Our founders boast : 10+ years of research experience at the Ecole Normale Supérieure in Paris, not to mention a stint at Oxford and Cambridge / 10+ years of strategy consulting experience at BCG.

    - We are part of the French Tech 2030 programme (https://lafrenchtech.com/fr/la-france-aide-les-startup/french-tech-2030/).

    - We have recently signed a $140m contract with Sanofi to accelerate their drug discovery.

    - 2 Series A fundraising of up to 60M€.

    What can we offer

    - A competitive salary and BSPCE policy

    - Hybrid remote working policy: 2 days/week can be worked remotely

    - Nice office in Paris, Pasteur's area

    - Alan mutuelle, Swile lunch card

    - Transport contribution: green participation if you come by bike

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