Remote Graph Data Engineer – Neo4j/AWS/Python (SC)

Harvey Nash Group; City Of London; Remote; GBP 50,000 - 83,000; Full time

Job summary

Harvey Nash Group is seeking a Graph Data Engineer to join our data engineering team on a freelance basis. This fully remote role requires active SC clearance and offers a 6-month contract with a day rate up to £450.

You will work with Neo4j, Cypher, AWS, Python and Spark to design, develop and maintain scalable graph data solutions and robust ETL/ELT pipelines for complex relationships.

Qualifications

• Active SC clearance is essential.
• Strong commercial experience with Neo4j and Cypher.
• Experience designing ETL/ELT pipelines for graph databases.
• Proficient Python development skills.
• Experience with AWS data engineering environments.
• Experience with AWS Glue and Apache Airflow.
• Knowledge of graph data modelling and relationships.
• Understanding data integration and transformation best practices.

Responsibilities

• Design, develop and maintain scalable graph data solutions.
• Build robust data pipelines for complex relationships.
• Collaborate with data engineers, software engineers and architects.
• Optimise Cypher queries and graph data models.
• Ensure data integration and transformation best practices.

Skills

Neo4j

Cypher

Graph data modelling

ETL/ELT pipelines

AWS

AWS Glue

Apache Airflow

Python

Apache Spark

Data integration

Tools

AWS

Apache Airflow

Apache Spark

AWS Glue

Job description

Harvey Nash Group is seeking a Graph Data Engineer to join our data engineering team on a freelance basis. This fully remote role requires active SC clearance and offers a 6-month contract with a day rate up to £450.

You will work with Neo4j, Cypher, AWS, Python and Spark to design, develop and maintain scalable graph data solutions and robust ETL/ELT pipelines for complex relationships.