Graph Engineer

Job description

Celfocus is a European high-tech system integrator, providing leading edge professional services focused on creating business value through Analytics and Cognitive solutions – addressing Telecommunications, Financial Services, Retail, Energy & Utilities, Pharmaceutical, and other markets' strategic opportunities.

As a highly specialised engineering company, Celfocus helps clients undergo their innovation path, providing technological solutions to extract value from data and make it actionable.

Serving clients in +25 countries, Celfocus delivers solutions that boost customer experience and enhance operational efficiency, via our Cognitive Automation, Data & Analytics and Digital offers.

Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative.

Create and enhance projects in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.

Be part of the team that combines business knowledge, technological edge and a design experience.

Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.

Face challenges and learn other ways of thinking and seeing the world - there’s always room for your energy and creativity.

About the role

We are seeking a highly skilled and motivated engineer to lead the design, development, and operation of a Network Digital Twin leveraging graph databases (GraphDBs).

This role is central to our efforts to build a real-time, data-driven replica of our network and service topology, enabling predictive analytics, service assurance, automation, and advanced decision-making across network operations.

You will work with network architects, data engineers, and automation teams to model multi-domain topologies (physical, logical, virtual), ingest and correlate operational data, and develop scalable and query-efficient graph-based representations of the network.

As a part of your job, you will:

• Design and implement a scalable network digital twin architecture using graph databases (e.g., AWS Neptune, Neo4j, Spanner Db).




• Model complex network and service topologies, including resources, services, devices, users, and their relationships.




• Develop real-time and batch ingestion pipelines from inventory systems, assurance platforms, telemetry streams, and orchestration systems.




• Define and implement Cypher queries or other graph query languages to support analytics, root cause analysis, and impact assessment.




• Collaborate with solution architects to ensure the digital twin supports intent-based networking, automation, and AI-driven use cases.




• Integrate with external APIs (e.g., TMF APIs, SNMP, Kafka, REST) and ensure data integrity, consistency, and completeness.




• Contribute to the definition of graph ontology/taxonomy, including versioning, metadata tagging, and domain-specific extensions.




• Work closely with AI/ML teams to feed the digital twin into predictive models for anomaly detection, capacity forecasting, and failure prevention.




• Build dashboards and visualizations to explore and interact with the digital twin.




• Maintain data security, access control, and compliance with relevant standards.

What are we looking for?

• Bachelor’s or Master’s degree in Computer Science, Network Engineering, Data Engineering, or related field.




• 2+ years experience working with GraphDBs (e.g., Neo4j, AWS Neptune) in production environments.




• Knowledge of network architectures (any of IP/MPLS, SDN, 5G, transport, access, and/or cloud-native) is valued.




• Proficiency in data modeling for complex systems and query languages like Cypher, Gremlin, SPARQL, etc.




• Hands-on experience with network inventory systems, OSS/BSS platforms, or digital twins.




• Familiarity with ETL processes, data pipelines, and integration frameworks (e.g., Kafka, NiFi, Apache Camel).




• Strong programming skills in Python, Java, or Scala.




• Knowledge of TM Forum Open APIs (especially TMF638, TMF640, TMF633) is a plus.




• Experience with visualization tools (e.g., Neo4j Bloom, GraphXR, Gephi, or custom frontends) is also valued.

Nice to have:

• Experience working in telecom or large-scale network environments.




• Understanding of AI/ML integration with graph data.




• Familiarity with cloud-native infrastructure and microservices (Kubernetes, Docker).




• Exposure to digital twin frameworks or enterprise knowledge graphs.




• Experience working in Agile/DevOps teams.

Personal traits

• Ability to adapt to different contexts, teams, and Clients;


• Teamwork skills but also a sense of autonomy;


• Motivation for international projects and ok if travel is included;


• Willingness to collaborate with other players;


• Strong communication skills.
  

At Celfocus, we are committed to cultivate a diverse and inclusive workplace.

As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities.

We are dedicated to providing reasonable accommodations for candidates with specific needs.

If you require any adjustments during the selection process, please inform our Talent Acquisition Team.

Come join the Team!

Required Skill Profession

Engineers