SC Data Engineer - Graph Data
Fully remote 6-month contract (outside IR35) for a Graph Data Engineer to design, build and maintain scalable data pipelines with a focus on graph databases, entities and relationships. Core stack: Neo4j, Cypher, AWS (incl. Glue), Apache Airflow and Python. Active SC clearance is essential; day rate up to £450.
- Compensation
- £450 / day
- Location
- London, United Kingdom
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Active SC clearance
- Strong commercial experience with Neo4j
- Advanced Cypher proficiency, including query development and optimisation
- Strong understanding of graph data modelling (entities, relationships, connected data)
- Experience designing and implementing ETL/ELT pipelines for graph databases
- Strong experience with AWS in data engineering environments
- Hands-on experience with AWS Glue for data integration and processing
- Strong experience with Apache Airflow for workflow orchestration
- Advanced Python development skills
- Proven experience designing, building and maintaining scalable ETL/ELT pipelines
- Strong understanding of data integration, transformation and processing best practices
- Strong commercial experience in data engineering
Nice to have
- Apache Spark or similar distributed data processing experience
Full description
SC Graph Data Engineer
Fully Remote | Outside IR35 | Up to £450 per day | 6-Month ContractActive 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