Internship in Data quality and engineering (m/f/d)

Who we are

At Sonova, we envision a world where everyone can enjoy the delight of hearing. This vision inspires us and fuels our commitment to developing innovative solutions that improve hearing health and human connection - from personal audio devices and wireless communication systems to hearing aids and cochlear implants. We're dedicated to providing outstanding customer experiences through our global audiological care services, ensuring that everyone has the opportunity to engage fully with the world around them.

Guided by a culture of continuous improvement that fosters resilience and self-motivation, our team is united by a shared commitment to excellence and a deep sense of pride in our work, each of us playing a vital role in creating meaningful change,

Here you’ll find a diverse range of opportunities that span both consumer and medical solutions and the freedom to shape your career while making an impact on the lives of others. Join us in our mission to create a more connected world, where every voice is heard and every story matters.

Staefa, Switzerland

Internship in Data quality and engineering (m/f/d)

If you are looking for an opportunity to dive into big data and get hand-on experience in real-world data engineering challenges, this opportunity is for you.

As an intern, you will create tools and methods to ensure our data is reliable and ready for analytics.

Your focus will be on designing and implementing tools and solutions for data quality assessment. You will dive into the data and propose new solutions to assess and track data health over time.

Your work will span over the full solution lifecycle, from evaluating existing frameworks to production implementation. You will be part of the R&D Data Operations team, giving you direct exposure to real day-to-day data challenges such as pipeline execution, data cleaning, and handling large volumes of data.

More about the role

Perform a literature and state-of-the-art review of data quality methods, and assess their performance and suitability for the required scenario

Evaluate and assess data pipeline capabilities to design and implement a data profiling tool

Implement a working prototype of the profiling framework, including selected methods.

Evaluate the prototype performance and scalability using synthetic data

More about you

BSc or MSc in Mathematics, Statistics, Engineering, Computer Science, Physics or a related field

General understanding of coding environments (Python), dataset handling and statistics and machine learning methods

Foundations on data engineering and familiarity with data quality concepts

Strong communication skills with the ability to bridge technical and business perspectives

More about what we offer

As one of the world’s leading hearing care providers headquartered in Switzerland, we’re committed to building an inclusive culture. We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model.

We offer a wide range of training opportunities for both your professional and personal development, and there are exceptional growth opportunities with individual development plans.

We team up. We grow talent. We collaborate with people of diverse backgrounds to win with the best team in the market place. We guarantee every person equal treatment in regard to employment and opportunity for employment, regardless of a candidate’s ethnic or national origin, religion, sexual orientation or marital status, gender, genetic identity, age, disability or any other legally protected status.

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