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Graph Data Engineer

Harvey Nash Group

Greater London

Hybrid

GBP 60,000 - 80,000

Full time

Today
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Job summary

A leading technology recruitment firm is seeking a Senior Graph Data Engineer to architect and maintain robust integration pipelines for Graph-Powered Data Platforms. The ideal candidate will have proven experience with Graph Databases, Docker, and Kubernetes, and will be responsible for designing high-performance pipelines. This position offers a daily rate of around £425, is inside of IR35, and is mostly remote with some travel to London expected.

Qualifications

  • Proven experience building and scaling integration layers specifically for Graph Databases.
  • Understanding of graph-specific scaling challenges like index management and transaction overhead.
  • Experience with Helm charts and persistent storage management for stateful workloads.

Responsibilities

  • Build Scalable Pipelines.
  • Design and implement high-performance integration pipelines for real-time streaming.
  • Tune pipeline performance and automate infrastructure.

Skills

Graph Ingestion Expertise
Container Orchestration
Expert-level knowledge of Docker
Expert-level knowledge of Kubernetes
Proficiency in Terraform
Hands-on experience with Prometheus
Hands-on experience with Grafana

Tools

Neo4j
Kafka
Kinesis
Job description

Harvey Nash is seeking a Senior Graph Data Engineer to architect and maintain robust, scalable integration pipelines that populate Graph-Powered Data Platforms.

  • Inside of IR35
  • Daily rate of around £425
  • 3 - 6 months in length
  • Mostly remote with some travel to London
What you will be doing:
  • Build Scalable Pipelines.
  • Design and implement high-performance integration pipelines for both bulk-loading and real-time streaming (using Kafka or Kinesis) into graph databases like Neo4j.
  • Pipeline Performance Tuning.
  • Container Orchestration.
  • Infrastructure Automation.
What skills and experience do I need:
  • Graph Ingestion Expertise.
  • Proven experience building and scaling integration layers specifically for Graph Databases.
  • Understanding of graph-specific scaling challenges like index management and transaction overhead.
  • Expert-level knowledge of Docker and Kubernetes, including experience with Helm charts, Operators, and persistent storage management for stateful workloads.
  • Infrastructure as Code.
  • Proficiency in Terraform for automating complex, multi-environment cloud infrastructure.
  • Hands-on experience with Prometheus and Grafana to monitor pipeline health and database metrics such as heap usage and query latency.

Please submit your CV for consideration.

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