Harvey Nash
SC Graph Data Engineer

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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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Skills and Responsibilities
Graph Data Engineering
- Strong commercial experience working with Neo4j.
- Advanced proficiency in Cypher, including query development and optimization.
- 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.


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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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