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Owkin

Senior Data Engineer

Remote Paris, France
Rust Docker Kubernetes AWS Go Java Pandas Machine Learning Python SQL R PostgreSQL
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Description

About us

Owkin is an AI biotechnology company that uses AI to find the right treatment for every patient. We combine the best of human and artificial intelligence to answer the research questions shared by biopharma and academic researchers. By closing the translational gap between complex biology and new treatments, we bring new diagnostics and drugs to patients sooner.

Owkin has raised over $300 million and became a unicorn through investments from leading biopharma companies (Sanofi and BMS) and venture funds (Fidelity, GV and BPI, among others).

Owkin is seeking the best and brightest to join our fast-growing and dynamic team.

About the role:

You will be part of the Engineering team. This role involves designing, building, and optimizing scalable ETL/ELT pipelines with Airflow to process complex datasets efficiently while ensuring reliability and performance. You will organize and structure data systems, aligning them with business objectives, and demonstrate expertise in scientific and healthcare information systems to deliver data products tailored for machine learning and AI research. Clear reporting and meticulous attention to detail are essential, as is the ability to manage high-volume,  complex workstreams while prioritizing multiple deadlines.

The role requires professional interpersonal skills to collaborate with diverse stakeholders in biotechnology and the ability to streamline production workflows for scientific processing and quality assurance.

 

In particular, you will:

  • Design and optimizing data pipelines using Airflow
  • Develop robust solutions in Python and SQL
  • Design, develop, and operate scalable ETL/ELT pipelines to process and transform datasets
  • Work with cross-functional teams, including data scientists, business developers, software engineers and bio medical researchers to deliver high-quality data solutions
  • Manage and monitor containerized data infrastructures with Docker and Kubernetes and other cloud platforms
  • Implement and enforce best practices for data governance, security, and compliance
  • Build, optimize and maintain data architectures, including data lakes, data warehouses, and analytical Insights 
  • Productionize the data processing pipelines, setting and enforcing standards and best practices across scientific teams to deliver high quality data in an efficient and scalable way

  

Position is based in our Paris or Nantes offices or remotely in France.

 

About you

Required qualifications / experience:

  • Master degree in computer sciences or specialization in Data 
  • Significant experience (minimum 5 years) as a Data Engineer and have good knowledge of DataOps practices.
  • Experience in Python and SQL and you have familiarity with R
  • Experience in architectural design of complex data platforms
  • Proficient in the technologies like Airflow, AWS steps functions, PostgreSQL, Docker, Kubernetes, Grafana, Infrastructure as Code
  • Autonomous, meticulous, and enjoy teamwork
  • Software development with a focus on code quality, simplicity, maintainability
  • Experience in designing data architecture and building data products , pandas
  • Experience handling sensitive personal information
  • Fluent in English

 

Preferred qualifications/bonus:

  • Knowledge in healthcare or biology areas
  • Data quality tools: Great expectation, pydantic, pandera, SQLMesh etc,  
  • Knowledge of other programming languages like Go, Java, Rust
  • Debugging & Refactoring skills

 

Please submit your CV in English

 

#LI-MD1

What we offer

  • Flexible work organization 
  • Friendly and informal working environment
  • Opportunity to work with an international team with high technical and scientific backgrounds

Recruitment Process & Security

  • Please complete the form and submit your CV.
  • Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.
  • Owkin is a great place to work. Unfortunately, being a coveted workplace means we are vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:
  • Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. 
  • Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or though our applicant tracking system (Greenhouse).
  • The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com.
  • The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;
  • Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger
  • Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.

 

If you think that you have been a victim of fraud, 

Owkin
Owkin
Artificial Intelligence (AI) Biotechnology Clinical Trials Machine Learning Pharmaceutical Precision Medicine

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