Data Engineer

Neko Health; Stockholms kommun; On-site; SEK 545,197 - 763,275; Full time

Job summary

Neko Health is seeking a Data Engineer to enhance their Data-to-AI platform, pivotal in driving healthcare innovation. You will design and build data systems that ensure strong governance, quality, and compliance.

Your key responsibilities include developing scalable data pipelines, managing data models, and collaborating with teams to enhance data quality. Candidates should possess strong Python and SQL skills and experience with cloud infrastructure.

Qualifications

• Strong programming skills in Python and SQL.
• Hands-on experience with relational and NoSQL databases, data lakes, and lakehouse technologies.
• Experience working with cloud infrastructure (Azure, AWS, or GCP).
• Familiarity with CI/CD pipelines and automated testing practices.
• Strong data quality and observability experience.
• Experience with data governance practices including lineage and data contracts.

Responsibilities

• Build and own scalable data pipelines for data ingestion and processing.
• Architect and maintain robust data models for analytics and ML.
• Develop core data platform components and infrastructure.
• Ensure data integrity and quality through monitoring and traceability.
• Manage and optimize data infrastructure resources.
• Implement metrics and observability using logging and monitoring.
• Troubleshoot production issues and performance bottlenecks.
• Collaborate with data scientists, analysts, and engineers.

Skills

Python programming

SQL

Relational databases

NoSQL databases

Data lakes/lakehouse technologies

Cloud infrastructure

CI/CD pipelines

Data governance practices

Data quality and observability

Job description

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. 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.
• Strong data quality and observability experience including metrics, tracing, and alerting.
• Experience working with data governance practices including lineage, cataloguing, access control, data contracts, and regulatory compliance.

Equal Opportunity & Inclusion Statement

Neko Health is committed to inclusive hiring and member‑first care. We welcome candidates from all backgrounds and encourage you to request reasonable adjustments to support your application.