Data Engineer

Owkin; Paris; Sur place; EUR 45 000 - 75 000; Plein temps

Résumé du poste

Ein innovatives Unternehmen sucht einen Data Engineer, der Teil eines dynamischen Engineering-Teams wird. In dieser spannenden Rolle unterstützen Sie die Entwicklung und Wartung von Datenpipelines, die für wissenschaftliche Prozesse und Qualitätssicherung entscheidend sind. Sie werden an der Gestaltung und Optimierung von ETL/ELT-Pipelines arbeiten und eng mit einem internationalen Team von Experten zusammenarbeiten. Diese Position bietet die Möglichkeit, in einem freundlichen, informellen Umfeld zu arbeiten und Ihre Fähigkeiten in einem Bereich zu entfalten, der die Zukunft der biologischen Forschung prägen wird. Wenn Sie eine Leidenschaft für Daten und Technologie haben, ist dies die perfekte Gelegenheit für Sie.

Prestations

Freundliches Arbeitsumfeld

Internationale Teamarbeit

Qualifications

• Erfahrung in der Entwicklung und Wartung von ETL/ELT-Pipelines.
• Kenntnisse in Datenverarbeitung und -management sind erforderlich.

Responsabilités

• Entwicklung und Optimierung von Datenpipelines mit Airflow.
• Zusammenarbeit mit Datenwissenschaftlern und Ingenieuren zur Bereitstellung von Datenlösungen.

Connaissances

Python

SQL

Airflow

Data Governance

Collaboration Skills

Outils

Docker

Kubernetes

Cloud Platforms

Description du poste

Owkin is building the first universal AI Operating System called K to lay the foundation for Biological Artificial Superintelligence (BASI). This OS integrates a suite of AI agents that decode complex biology, accelerate research, and dramatically increase productivity. Acting as copilots, Owkin K agents will automate drug discovery and diagnostics and power next-gen pharma companies.

Owkin's OS will be powered by the world's largest federated multimodal patient data network, a robotized lab, leading AGI technologies, and cutting-edge multimodal foundation models and LLMs.

About the role :

As a Data Engineer, you will be part of the Engineering team, supporting the development and maintenance of data pipelines for scientific processing and quality assurance. You will participate in designing, optimizing, and maintaining ETL / ELT pipelines using Airflow, working within established frameworks to ensure reliability, scalability, and compliance with data governance standards.

Your primary responsibilities will include organizing and structuring data systems, ensuring accurate reporting of pipeline performance, and contributing to scientific and healthcare data processing workflows. The role requires attention to detail, the ability to manage multiple priorities, and strong collaboration skills to work effectively with engineers, data scientists, and researchers.

You will focus on streamlining production workflows, ensuring proper monitoring and operational efficiency, and implementing best practices for data governance and security.

In particular, you will :

• Support the design and optimization of data pipelines using Airflow.
• Develop and operate Python and SQL-based solutions for data processing.
• Contribute to the development of scalable ETL / ELT pipelines to process and transform datasets.
• Work closely with data scientists, business developers, software engineers, and biomedical researchers to deliver high-quality data solutions.
• Contribute to management and monitoring of containerized data infrastructures with Docker, Kubernetes, and cloud platforms.
• Follow best practices for data governance, security, and compliance in all workflows.
• Operate on the data architectures, including data lakes, data warehouses, and analytical insights platforms.
• Contribute to the productionization of data processing pipelines, ensuring efficiency and scalability in scientific data workflows.

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

About you

• Proficiency in Python and SQL.
• Familiarity with Airflow for workflow orchestration.
• Familiarity with cloud-based data storage and cloud-native processing concepts.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Knowledge of data governance and security fundamentals.
• Ability to work with structured and unstructured datasets in predefined formats.

Please submit your CV in English.

What we offer

• 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. As a coveted workplace we are, unfortunately, 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 through 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.