Data Engineering Functional Lead

Neko Health is a Swedish healthcare technology company co-founded in 2018 by Hjalmar Nilsonne and Daniel Ek. Neko's vision is to shift healthcare from reactive treatment toward preventative health and early detection. This requires completely reimagining the patient's experience and incorporating the latest advances in sensors and AI. Neko Health has developed a new medical scanning technology concept to make it possible to do broad and non-invasive health data collection that is convenient and affordable for the public. The company is based in Stockholm, offering the Neko Body Scan experience at locations in Stockholm, London and Manchester, with over 500 employees.  
The Role 
We are hiring a Data Engineering Functional Lead (DE FL) to join our Data & AI leadership team and support Neko's AI vision and execution. This role will be central to how we build and scale AI and Analytics across the company. Specific areas of responsibility include developing our data infrastructure and data systems supporting the needs of Data Science and Data Analytics, enabling efficient delivery of data-driven products and insights at relevant scale of operations Responsibilities:

• Vision & Strategy: Own Neko's Data Engineering strategy, ensuring long-term leadership in preventive health. 
• Technical Leadership: Drive innovation in data engineering technologies and practices. Contribute hands-on to deliverables, balancing current and future needs. 
• Infrastructure & Scale: Own data engineering and systems for large-scale data ingestion, including multi-regional needs and storage & data modelling. 
• Cross-Functional Integration: Establish ways of working and common tooling for efficient communication and alignment within the organization. 
• Ethics & Governance: Build a platform supporting responsible AI — fairness, privacy, explainability, and compliance (EU MDR, FDA, HIPAA, GDPR). 
• People leadership: Support growth, well-being, and performance. Foster a positive and collaborative work culture. 

What We're Looking For:

• 5+ years in Data Engineering leadership, with proven track record of scaling data systems from startup to large and international scale. 
• Experience building scalable data infrastructure (data platforms) and data governance frameworks for multi-region, sensitive data environments. 
• Strong software design, SQL, and Python skills.  
• Ability to inspire and grow a world-class team. 
• Strategic leader with both hands-on credibility and organizational influence. 
• Adept at delivering impact working in circumstances with large uncertainty and in discovery-driven phases. 

• Experience leading Data Engineering in a global, mission-driven company. 
• Experience with sensitive data, ideally health data, and compliance. 
• Experience with GPU workloads in Databricks. 

About the Engineering Team
Distributed and Remote First We are nearly 100 full time engineers at the company, working from Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm, spanning diverse disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning Development, Optronics Research, Frontend Development and more. We don't expect people to join us with a specific tech knowledge, but we do expect you to work with our tools. We use a mix of React, Typescript, C++, and Python. Our APIs are written in C# with ASP.NET Core, uses Azure Cosmos DB, and Azure Active Directory for authentication. 
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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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