Graph Data Engineer, Amber Labs
Neo4j
Salary not provided
AWS
Docker
Kubernetes
GCP
JavaScript
Python
Java
Azure
Cypher
Mid and Senior level
London
More information about location
IT consulting firm
Open for applications
IT consulting firm
21-100 employees
B2BAnalyticsConsultingCloud Computing
Open for applications
Salary not provided
AWS
Docker
Kubernetes
GCP
JavaScript
Python
Java
Azure
Cypher
Mid and Senior level
London
More information about location
21-100 employees
B2BAnalyticsConsultingCloud Computing
Company mission
To provide specialist services, automation, accelerators competitively to organisations across EMEA.
Role
Who you are
- We are seeking a skilled and experienced Graph Data Engineer specializing in Neo4j and related graph database technologies to join our End-User Computing (EUC) team within the Nuclear Sector
- Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
- Proven experience working with graph databases, especially Neo4j (3+ years preferred)
- Strong expertise in Cypher query language and hands-on experience with graph data modeling and analysis
- Experience with ETL tools for data extraction, transformation, and loading into graph databases
- Familiarity with cloud platforms (Azure, AWS, GCP) for deploying and managing database solutions
- Solid understanding of DevOps principles, including CI/CD pipelines, containerization (e.g., Docker), and orchestration (e.g., Kubernetes)
- Strong knowledge of data security practices, particularly within regulated environments such as nuclear or other critical infrastructure sectors
- Experience working in End-User Computing (EUC) environments and with diverse end-user datasets
- Proficiency in one or more programming languages such as Python, Java, or JavaScript
- Experience with data visualization tools and techniques for representing graph data (e.g., Neo4j Bloom)
- All employees are required to meet the Baseline Personnel Security Standard
What the job involves
- The ideal candidate will play a critical role in designing, developing, and optimizing graph data models, with a focus on supporting complex nuclear engineering processes and systems
- You will work closely with data scientists, architects, and cross-functional teams to deliver robust data solutions tailored to the nuclear industry's strict regulatory and safety requirements
- Design, develop, and optimize graph database models using Neo4j to meet the needs of EUC systems in the nuclear domain
- Collaborate with nuclear engineers, data scientists, and IT teams to understand data requirements and translate them into scalable graph data structures
- Ensure data integration from diverse sources into graph databases, leveraging APIs, ETL pipelines, and other data tools
- Develop and maintain Cypher queries to manipulate and analyze graph data
- Perform performance tuning on graph databases to ensure efficiency and reliability in a high-demand environment
- Work with cloud platforms (Azure, AWS, GCP) and on-premise solutions to deploy, maintain, and manage the graph data infrastructure
- Implement and monitor data security policies, ensuring compliance with nuclear sector regulations, particularly around data privacy, security, and governance
- Collaborate with DevOps teams to ensure smooth integration and CI/CD deployment of graph databases and associated tools
- Troubleshoot and resolve database issues, ensuring data accuracy, reliability, and availability for critical nuclear projects
- Provide technical guidance and training to junior engineers and other stakeholders on graph data concepts and Neo4j tools
- Stay up to date with the latest trends and innovations in graph database technologies, recommending upgrades and new tools as appropriate
Application process
- Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary
Salary benchmarks
Our take
The future is data. Yet, companies are not equipped with the knowledge and tools to effectively navigate this transition. After realising that many organisations require support on their data maturity journey, Amber Labs was founded to mature a business' capability in the cloud.
The company is made up of highly skilled consultants and technologists to create an IT consulting firm that specialises in the evolution of Data Engineering, Cloud, and Analytics. Amber Labs has a strong founding team and several rounds of seed funding, hence it will be interesting to see whether its approaches can successfully deliver value from client’s data.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Join a rapidly expanding startup where personal growth is a part of our DNA
- Benefit from a flexible work environment focused on deliverable outcomes
- Receive private medical insurance through Aviva
- Enjoy the benefits of a company pension plan through Nest
- 25 days of annual leave plus UK bank holidays
- Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources
- Participate in a generous employee referral program
- A highly collaborative and collegial environment with opportunities for career advancement
- Be encouraged to take bold steps and embrace a mindset of experimentation
- Choose your preferred device, PC or Mac
Company values
- Prioritise internal culture and customer success
- A narrow focus into our three key domains and capabilities
- A collaborative approach through every interaction internally and externally
- Innovation and Research & Development is a priority
Company HQ
Holborn, London, UK
Articles
Leadership
Sebastien Payet
(CEO)Previously served as Public Sector Lead for Agile Solutions and as an Account Director of Financial Services for GBGroup.
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