Senior Data Engineer, Neuchatel
Vor 2 Tagen
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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 OverviewWe 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.
- 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.
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.
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