Senior Security Engineer

EM Microelectronic-Marin SA; Auxerre; Sur place; USD 80 000 - 120 000; Plein temps

Résumé du poste

Join a pioneering start-up revolutionizing blood pressure monitoring with cutting-edge technology. As a Senior Data Engineer, you will play a crucial role in developing scalable data systems that support research and development efforts. Collaborate with a talented team to design innovative data solutions, optimize existing pipelines, and ensure data governance and security. This is an exciting opportunity to contribute to impactful healthcare technology in a dynamic and supportive environment. If you're passionate about data engineering and want to make a difference, we want to hear from you!

Prestations

Competitive compensation package

Equity based on experience

Opportunities for professional growth

Innovative work environment

Qualifications

• 5+ years in data engineering with complex pipelines for big data environments.
• Expertise in data ingestion, processing, and integration across multiple sources.

Responsabilités

• Lead development and maintenance of scalable data systems for R&D.
• Collaborate with teams to develop cost-effective, scalable data solutions.
• Document data architectures, pipelines, and processes.

Connaissances

Python

Data Engineering

ETL Pipelines

Data Governance

Data Security

Cloud Computing

CI/CD Practices

MongoDB

SQL

Spark

Formation

Master’s degree in Biomedical Engineering

Master’s degree in Computer Science

Master’s degree in Data Science

Master’s degree in Applied Mathematics

Outils

AWS

Airflow

Scala

Parquet

HDFS

Description du poste

We are an early-stage, venture-backed start-up that has raised over $50M from top-tier investors in Europe and the United States. We have developed and brought to market the world’s first continuous blood pressure monitor. Our technology is based on 15 years of research by our founders at the prestigious Swiss Center for Electronics and Microtechnology (CSEM). Aktiia's solution has been validated through extensive clinical trials and received a CE Mark as a Class IIa medical device giving us commercial access to 43 countries worldwide.

High blood pressure is the world’s most common disease and causes 18M deaths / year. At Aktiia, we believe that our novel technology is the key to building the fundamental datasets for the next chapter of understanding and discovery in the field of blood pressure. Before Aktiia, it was not possible to do this at scale.

The Aktiia team (60 employees) is bright and driven, with colleagues who are all focused on bringing to market an innovative and impactful solution.

Job Overview

We are seeking a highly motivated and experienced Senior Data Engineer to join our team based in Neuchâtel, Switzerland.

Responsibilities

• Lead the scalable development, optimization, and maintenance of both on-premises and cloud-based data systems to ensure consistent availability, high performance, and security for the R&D team.
• Collaborate with the Data Science, Clinical and engineering teams to understand data needs and develop cost-effective, scalable solutions for both structured and semi-structured data.
• Manage, maintain and optimize existing ETL pipelines for database integration and consolidation.
• Design and implement new data integration solutions as the company's product portfolio expands.
• Provide technical leadership and serve as the primary point of contact for data-related inquiries.
• Develop and enforce data governance, security, and compliance practices across all data systems.
• Monitor system performance and implement optimizations as needed.
• Document data architectures, pipelines, and processes.

Your Profile

• Master’s degree or higher in a relevant field, such as biomedical engineering, computer science, data science, applied mathematics, or a related discipline.
• 5+ years of experience developing and managing complex data engineering pipelines for large-scale (big data) environments, with demonstrated expertise in designing, implementing, and optimizing data ingestion, processing, and integration across multiple data sources.
• Strong proficiency in Python; experience with Airflow, Scala, or similar frameworks is highly desirable.
• Extensive experience with structured and semi-structured data processing, with expertise in MongoDB and SQL, including experience with large-scale data formats (Parquet, HDFS).
• Expertise with the AWS ecosystem or similar cloud computing infrastructures.
• Experience with CI / CD practices and tools.
• Familiarity with distributed processing frameworks (e.g., Spark) is an asset.
• Knowledge of regulatory requirements for medical data handling (GDPR, HIPAA) is a strong asset.
• Strong understanding of data security best practices and compliance requirements.
• Proficiency in English.
• Located in Switzerland.

Competitive compensation package and equity based on experience.

Opportunities for professional growth and development.

Application

As soon as possible. Are you passionate about solving problems with visionaries and innovative approaches? If so, you are ready to rock with the Aktiia team. We look forward to receiving your application on the Workable platform or by email ([emailprotected]).

If you do not hear back from us within two weeks, your application has unfortunately not been successful for this role.