SC Data Engineer - Graph Data

Harvey Nash Group; City Of London; On-site; 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

SC Graph Data Engineer

Fully 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