Data Engineer

Key Skills

Algorithms, AWS, Data Architecture, Data pipelines, DevOps, Kubernetes-K8s, MLOps tools, Python Programming, Sass, SQL

Job Description

At Aqemia you will work in a multi-disciplinary team of passionate drug hunters, AI engineers and developers who are committed to our mission of finding many drugs, at high pace, to cure diseases.

As part of our growing team, you will enjoy a fast-paced, challenging, science-driven and creative environment, working at the very forefront of AI & Deep physics-powered drug discovery. This is a tremendous opportunity to bring your own impact on changing the way medicines are discovered and be involved in shaping the direction of our fast growing business and team.

We are looking for highly skilled and collaborative individuals who are naturally curious, have a passion for learning and solving complex problems with a “can-do” mindset.

If this sounds exciting to you, come and join us!

The difference you’ll make

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.

What you'll do

• 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

Your profile

• 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

Knowledge of Kubernetes, K8s administration

You know how to interact with technical stakeholders

Who you are

• 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.
• You are inquisitive, and proactive with a can-do attitude.
• You are excited to join a small team and make your mark on drug discovery.
• You thrive on working collaboratively in a fast-paced, interdisciplinary environment that keeps everyone on track.

Our Workplace Environment

• Fast-paced, intellectually and scientifically demanding, results-driven.
• Our Founders boast : 10+ years experience in research at Ecole Normale Supérieure in Paris, not to mention a stint in Oxford and Cambridge / 10+ years experience in strategy consulting at BCG.
• Aqemia has a rapidly growing team of +50 people from world-class institutions (AstraZeneca, GSK, Sanofi, Harvard, Ecole Normale Supérieure, Ecole Polytechnique, BCG)
• Our premises are conveniently located in the center of Paris (1 Bd Pasteur), with a possibility of up to 2 days of remote work.
• We are part of the French Tech 2030 program (https://lafrenchtech.com/fr/la-france-aide-les-startup/french-tech-2030/).

 Working language: English

We are growing fast, if you feel that you don't fit this job description but you’re still excited to join, then please get in touch!

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Aqemia is an Equal Employment Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender perception or identity, national origin, age, marital status, disability status or any other basis under applicable law.