Data Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Stockholm, Sweden"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€3,904–€12,918). The listed pay band (€414–€564) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 13 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Engineer | €3,000/per month | €5,375/per month | €7,560/per month |
| All roles in Stockholm, Sweden | €3,904/per month | €7,051/per month | €12,918/per month |
Mission: Neko is redefining prevention by making data-driven, preventative care accessible before symptoms appear. In a single, non-invasive visit under an hour, proprietary technology and direct clinical care combine to deliver personalised insights. Every role contributes to a world where prevention is the norm. Role Purpose: Design and build core data platform components, data models, and ingestion frameworks powering analytics, ML, and data-driven decision making. Ensure governance, data quality, and regulatory compliance in a healthcare data environment. About the Engineering Team: Nearly 100 engineers across Europe with a remote-first culture. Tech stack includes React, TypeScript, Python, C++, and C#. We use Azure Cosmos DB and Azure AD. Stockholm office visits are occasional; remote work is common. Organization and Way of Working: Cross-functional, autonomous teams with quarterly and bi-weekly planning; regular demos showcasing progress and experiments. Apply for this Job
Job Details
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
Requirements
- Strong programming skills in Python and SQL
- Hands-on experience with relational and NoSQL databases, data lakes, and lakehouse technologies (Delta Lake, Parquet)
- Experience with cloud infrastructure (Azure, AWS, or GCP)
- Familiarity with CI/CD pipelines and automated testing
- Strong data quality and observability experience
- Experience with data governance practices including lineage, cataloguing, access control, data contracts, and regulatory compliance
Skills & Technologies
| Location | Active listings |
|---|---|
| Remote - Global | 1 |
| Role type | Active listings |
|---|---|
| Quality Program Manager | 1 |
| Role level | Active listings |
|---|---|
| Senior | 1 |
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