SC Data Engineer - Graph Data

Harvey Nash IT Recruitment UK

Greater London

Remoto

GBP 77.000 - 83.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Harvey Nash IT Recruitment UK is seeking an experienced Graph Data Engineer to join our data engineering team on a freelance basis. You will design, develop and maintain scalable graph data solutions, focusing on graph databases, data modelling, entities and relationships.

The role requires strong commercial experience with Neo4j, Cypher, AWS and Python, and involves building robust data pipelines to support complex data relationships. Active SC clearance is essential for this contract.

Competenze

  • Graph tech: Neo4j, Cypher and graph data modelling experience.
  • Strong experience building robust ETL/ELT pipelines for graph databases.
  • Proficient with AWS data engineering workflows, Python development and data integration.

Mansioni

  • Design, develop and maintain scalable graph data solutions with a focus on graph databases.
  • Create and optimise Neo4j queries and data models for complex relationships.
  • Build scalable ETL/ELT pipelines and data integration processes.
  • Collaborate with data, software engineers and stakeholders to deliver data projects.

Conoscenze

Neo4j
Cypher
Graph modelling
ETL/ELT pipelines
Python
AWS
Data integration
Apache Spark
Apache Airflow

Strumenti

AWS
AWS Glue
Apache Airflow
Apache Spark

Descrizione del lavoro

SC Graph Data EngineerFully Remote | Outside IR35 | Up to £450 per day | 6-Month Contract

Active SC clearance is essential.

The Opportunity

We are seeking an experienced Graph Data Engineer to join our Data Engineering team on a freelance basis. You will work closely with data engineers, software engineers, architects and business stakeholders to design, develop and maintain scalable, high-performance data solutions, with a particular focus on graph databases, data modelling, entities and relationships.

This is a hands‑on engineering role suited to someone with strong commercial experience in Neo4j, Cypher, AWS and Python, alongside a proven ability to build robust, scalable data pipelines and deliver effective data integration and transformation solutions.

Key Skills and Responsibilities

Graph Data Engineering

  • Strong commercial experience working with Neo4j.

  • Advanced proficiency in Cypher, including query development and optimisation.

  • Strong understanding of graph data modelling, including entities, relationships and connected data structures.

  • Experience designing and implementing ETL/ELT pipelines for graph databases.

  • Ability to develop scalable and efficient data solutions to support complex data relationships.

AWS and Data Engineering

  • Strong experience working with AWS in data engineering environments.

  • Hands-on experience with AWS Glue for data integration and processing.

  • Strong experience using Apache Airflow for workflow orchestration and pipeline management.

  • Advanced Python development skills.

  • Experience with Apache Spark or similar distributed data processing technologies would be advantageous.

  • Proven experience designing, building and maintaining scalable ETL/ELT pipelines.

  • Strong understanding of data integration, transformation and processing best practices.

Contract Details
  • Role: SC Graph Data Engineer

  • Location: Fully remote

  • Clearance: Active SC clearance essential

  • Contract Length: 6 months

  • Day Rate: Up to £450

  • IR35 Status: Outside IR35

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