Graph Data Engineer

Harvey Nash Group; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

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.