Neko Health
Data Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Stockholm
Employer listed it 4 weeks ago · Added 4 weeks ago
Listed for 24 days before it closed.
This job has closed
Neko Health has taken this listing down, so it is no longer accepting applications. The details below are kept for reference only.
Browse open rolesSalary
Not stated
Location
Hybrid · Stockholm
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Stockholm, Berlin, London, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Stockholm, Berlin, London, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
Mission
Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it's ever at risk. Our mission: make data-driven, preventative care accessible to more people, before symptoms appear. In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised, actionable insights. It's a team that thinks in 10x, not 10%. Every role here plays a part in building a world where prevention is the norm, and where your work genuinely helps people live longer, healthier lives.
Role Purpose
As a Data Engineer within our Data-to-AI platform, you will play a critical role in enabling healthcare innovation through robust, scalable, and secure data systems. You will design and build core data platform components, advanced data models, and ingestion frameworks that power analytics, machine learning, and data-driven decision making across the organization. Working with sensitive healthcare data, you will ensure strong governance, data quality, and regulatory compliance remain foundational to the platform.
What You’ll Deliver in the First 6–12 Months
• Build and productionize scalable batch and streaming data pipelines supporting platform and research workloads.
• Design and implement robust data models across databases and lakehouse systems to support analytics and machine learning.
• Establish strong data quality, monitoring, and lineage practices improving reliability, traceability, and trust in platform data.
• Contribute to scalable and well-governed data platform infrastructure supporting performance, compliance, and growth.
• Partner closely with data scientists, analysts, and engineering teams to enable reliable data contracts and high-quality datasets.
Responsibilities
• Build and own scalable data pipelines for ingestion, integration, and processing across batch and streaming systems.
• Architect and maintain robust data models across databases and lakehouse platforms supporting analytics and ML workloads.
• Develop and own core data platform components and infrastructure.
• Ensure data integrity and quality through monitoring, alerting, lineage, and traceability.
• Manage and optimize data infrastructure including clusters, storage, and compute resources.
• Implement metrics and observability across services using logging, tracing, and monitoring.
• Troubleshoot production issues, pipeline failures, and performance bottlenecks.
• Collaborate cross-functionally with data scientists, analysts, and backend engineers on modelling, governance, and integration.
Minimum Qualifications
• Strong programming skills in Python and SQL.
• Hands-on experience with relational and NoSQL databases, data lakes, and lakehouse technologies (e.g. Delta Lake, Parquet).
• Experience working with cloud infrastructure (Azure, AWS, or GCP).
• Familiarity with CI/CD pipelines and automated testing practices.
Requirements
- ·• Strong programming skills in Python and SQL.
- ·• Hands-on experience with relational and NoSQL databases, data lakes, and lakehouse technologies (e.g. Delta Lake, Parquet).
- ·• Experience working with cloud infrastructure (Azure, AWS, or GCP).
- ·• Familiarity with CI/CD pipelines and automated testing practices.
- ·• Strong data quality and observability experience including metrics, tracing, and alerting.
Benefits
No benefits package published with this listing. Ask about it at first interview.
Applying
This listing has closed, so there is no application link. The details above are kept for reference only.
Found 28d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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This role is closed, applications are no longer accepted.