Senior Data Engineer

Join Neko Health as a Senior Data Engineer and make a difference in the health-tech industry! We're looking for an imaginative and talented individual who is eager to help us develop and operate our secure, world-scale, and performant health data platform.

For regulatory and legal reasons we are only looking for people that live in the EU.

About Neko Health
Neko Health is a Swedish health-tech company co-founded in 2018 by Hjalmar Nilsonne and Daniel Ek. Our vision is to create a healthcare system that can help people stay healthy through preventive measures and early detection. Neko has developed a new medical scanning technology concept to make it possible to do broad and non-invasive health data collection that is both convenient and affordable for the public. This requires completely reimagining the healthcare experience and incorporating the latest advances in sensors and AI. We are a remote first company, but the company is based in Stockholm and has 40 employees across Europe.

About the role
We are currently in search of a highly skilled and experienced hands-on data engineer to join our esteemed team of algorithm and machine learning experts. Our teams are dedicated to developing cutting-edge algorithms and machine learning services for cardio, tissue, skin, and body assessment, leveraging the data from Neko Health body scans. The secure and reliable handling of substantial volumes of data from each scan, as well as the subsequent data processing, are vital to the success of our business.

What we are looking for
The ideal candidate for this role possesses broad expertise in Big Data and cloud infrastructure for machine learning services and data pipelines and a strong background in software development. This includes a proven track record of designing, operating, and enhancing infrastructure for machine learning services, as well as the design and implementation of robust data pipelines and dashboards.

Our health data platform is cloud native, and thus, we require a deep understanding of cloud platforms such as Azure, AWS, or GCP, coupled with proficiency in tools like Docker and Kubernetes. Candidates with specific experience in Azure and Databricks will be highly regarded for this position.

While a perfect match between your skillset and our technology stack is not essential, we place great value on your willingness and ability to learn and grow within our organization. We highly appreciate individuals with exceptional analytical and problem-solving skills, as well as a strong aptitude for thriving in a fast-paced environment. Given our remote-first work environment and cross-functional collaborations, strong communication skills and effective teamwork are essential.

If you meet these requirements and possess a genuine passion for working with data, we enthusiastically encourage you to apply for this exciting opportunity to contribute to our data-driven culture. Join our dynamic team and play a pivotal role in driving innovation through robust data engineering and machine learning infrastructure.

About the Engineering Team
Distributed and Remote First

We are 40 full time engineers at the company, working from Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm and spanning diverse disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning Development, Optronics Research, Frontend Development and more.

Our headquarters and our hardware development team are in Stockholm, Sweden.

We are a Remote First company; however, it is of course much easier to work remotely as a software engineer than a hardware or firmware engineer (since they require access to hardware or devices occasionally). Software engineers based in Stockholm work maybe one day a week or one day every two weeks from the office.

We meet a couple of times per year to get to know each other and have fun.

Organization and Way of Working

The engineering team is divided into smaller cross functional project teams that each focus on a specific goal or target, where some groups are long-lived, and some are short-lived, depending on how big the goal or deliverable is. We strive to create groups which are cross-functional and able to complete their goals without dependence on other teams, even though this is of course not always possible.

Groups track goals on a yearly and quarterly basis with goal follow-up across the entire engineering organization on a bi-weekly basis.

Most groups do internal planning on a bi-weekly basis, but in the end it's up to the group to decide how they want to work.

We have, however, mandated that all groups must present their progress or failures or hacks at our bi-weekly engineering demo, a fun meeting/presentation where we talk about everything from short-circuiting power-modules, how hard it is to calibrate cameras or align polygons in space, to neat new command line tools for operations, a new auth mechanism in the backend, a cool new way to visualize health data or a new feature which helps our doctors be more productive.

We have a flexible workplace that focuses on work/life balance, and we strongly believe in our mission but do not think that achieving it requires sacrificing everything else.