Graph Data Platform Specialist - Helsinki (Hybrid) - 12 months
- Hiring from
- Finland
- Work type
- Hybrid
- Posted
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Overview
We are seeking a Graph Data Platform Specialist to join a leading organisation within the energy sector. This role focuses on the design, development, and operational management of a graph-based data platform that supports engineering and lifecycle data processes across the business.
The successful candidate will play a key role in maintaining graph database environments, developing APIs and data services, and supporting business initiatives through advanced data modelling and platform engineering expertise.
Key Responsibilities
Platform Engineering & Operations
- Maintain and support enterprise graph database environments across multiple deployments.
- Perform platform upgrades, patching activities, monitoring, and performance optimisation.
- Ensure platform reliability, security, scalability, and operational excellence.
- Support deployment and operation of services running in cloud-native environments.
- Design, maintain, and improve graph data models that support business and engineering processes.
- Create and optimise complex graph database queries to meet business requirements.
- Manage indexes, constraints, and model refactoring activities.
- Support the development of enterprise knowledge graph capabilities.
- Develop and maintain GraphQL-based services and integrations.
- Build data services and applications using Python and modern cloud technologies.
- Support automated documentation generation and metadata management activities.
- Ensure solutions follow established development and architectural standards.
- Work closely with engineering and business stakeholders to understand data requirements.
- Provide expertise on information architecture and graph data modelling.
- Contribute to solution design within wider digital transformation initiatives.
- Translate complex technical concepts into business-friendly language.
- Bachelor's or Master's degree in Information Technology, Computer Science, Data Engineering, or a related discipline.
- Mandatory experience working within the Energy sector.
- Proven experience in software development and data engineering.
- Strong Python development skills.
- Solid knowledge of SQL and data modelling methodologies.
- Experience with GraphQL development and API design.
- Exposure to graph database technologies; Neo4j experience is highly desirable.
- Experience working with AWS or comparable cloud platforms.
- Knowledge of Kubernetes, containerised applications, or serverless architectures.
- Practical understanding of DevOps principles and Agile ways of working.
- Fluent English communication skills.
The ideal candidate will be:
- Analytical and structured in their approach to problem-solving.
- Comfortable working with complex data landscapes and interconnected systems.
- Capable of engaging with both technical and non-technical stakeholders.
- Focused on continuous improvement and operational excellence.
- A collaborative team player with strong communication skills.
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