Graph Database Engineer

Abbott Laboratories; Barcelona; Presencial; EUR 50.000 - 90.000; Jornada completa

Descripción de la vacante

An innovative healthcare leader is seeking a Senior Graph Database Engineer to join their new Technology Hub in Barcelona. This exciting role involves designing, implementing, and managing graph data infrastructure that transforms biosensor data into impactful insights. You will collaborate with cross-functional teams to ensure the scalability and reliability of the graph database ecosystem, primarily built on Neo4j. If you have a passion for graph technologies and enjoy optimizing complex data models, this opportunity allows you to make a significant difference in digital health solutions that empower individuals to take control of their metabolic health.

Formación

• 5+ years of experience in database administration or data engineering.
• 2+ years of hands-on experience with Neo4j or other graph databases.

Responsabilidades

• Design and maintain graph data models aligned with business needs.
• Administer and monitor Neo4j clusters in production environments.

Conocimientos

Database Administration

Graph Database Technologies

Cypher Query Language

Query Optimization

Cloud Environments (AWS, GCP, Azure)

Data Performance Tuning

Communication Skills

Educación

Bachelor's Degree in Computer Science or related field

Herramientas

Neo4j

Docker

Kubernetes

Descripción del empleo

About Abbott
Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. Lingo is a system powered by Abbott designed to help people understand their glucose patterns and make informed choices about nutrition, exercise, and overall well-being.

Interested in applying your wealth of technical knowledge and experience towards an opportunity in the medical field and improve the lives of people?
In our new Technology Hub in Barcelona, you will join our purpose driven team to:

• Drive innovation in health tech by developing scalable platforms that transform real-time biosensor data into meaningful insights.
• Shape the future of digital health by building solutions that empower people to take control of their metabolic health.
• Create engineering with a global impact by working on technology that reaches millions worldwide.
• Advance accessibility and compatibility by ensuring our solutions integrate seamlessly across devices and ecosystems.

The Opportunity

We are looking for an experienced Senior Graph Database Engineer / DBA to design, implement, and manage our graph data infrastructure. You will work closely with engineering, data science, and product teams to ensure the scalability, performance, and reliability of our graph database ecosystem - primarily built on Neo4j.

If you’re passionate about graph technologies, knowledge graphs, and enjoy working on complex data models and high-performance query optimization, we want to hear from you.

What You'll Do

• Design and maintain graph data models aligned with business needs and product evolution.
• Administer and monitor Neo4j (AuraDB / Enterprise / Community) clusters in production environments.
• Develop and tune Cypher queries for performance and maintainability.
• Collaborate with backend engineers to integrate graph queries into microservices and APIs.
• Define and maintain data lifecycle, including backups, disaster recovery, and security best practices.
• Provide guidance on graph architecture, GQL design, and best practices.
• Develop and maintain automated monitoring and alerting for availability and performance.
• Stay up-to-date with evolving graph database technologies and help us evaluate new tools where relevant (e.g., Amazon Neptune, TigerGraph, etc.).

What We're Looking For

• 5+ years of experience in database administration or data engineering.
• 2+ years of hands-on experience with Neo4j or other graph databases in production.
• Strong knowledge ofgraph modeling, Cypher, and GQL concepts.
• Proficiency in query optimization, indexing, and data performance tuning.
• Experience with cloud environments (AWS, GCP, or Azure) and containerized deployments (Kubernetes, Docker).
• Understanding of graph algorithms and their practical applications.
• Familiarity with DevOps, CI/CD pipelines, and infrastructure as code is a plus.
• Excellent communication and collaboration skills.

Nice to Have

• Experience with data pipelines, ETL, and graph ingestion tools.
• Knowledge of security controls, RBAC, and auditing in database systems.
• Exposure to data cataloging, knowledge graphs, or semantic modeling.
• Familiarity with other graph technologies like Gremlin, SPARQL, or RDF triple stores.
• Opportunity to shape the data architecture in a scalable, modern, and mission-critical environment.