Salary: £51,355 – 106,847 per year
Requirements
- We need someone with demonstrable experience working with big data sets in highly available environments.
- We need full data engineering lifecycle experience.
- We need experience delivering end-to-end data solutions for graph, analytics, or knowledge management platforms.
- We need a strong understanding of the full data architecture stack, including optimisations and efficiencies.
- We need experience integrating workflow applications and analytics into a coherent architecture.
- We need technical team leadership experience and confidence in delivery.
- We need experience with graph or analytics technology stacks, or AI data processing such as entity resolution, Neo4J, Databricks, Snowflake, ETL, and related data pipeline and deployment components.
- You must be a British citizen and prepared to obtain security clearance.
Responsibilities
- We will join our new Data Practice as our first data resource.
- We will shape how the Practice evolves.
- We will contribute to the delivery of our first programme of work.
- We will work with our talented colleagues and partners, complementing their skills.
- We will design, implement, and support data solutions across the full data lifecycle.
- We will help maximise the value of data for our clients and business.
Technologies
- AI
- Big Data
- Databricks
- ETL
- Support
- Neo4J
- Security
- Snowflake
- Architect
More
We are Redhorse International, bringing unique graph data expertise to the UK as we establish a new Data Practice specialising in graph technologies. This is a hands‑on opportunity for the right person to become our first Data Practice resource, with the chance to shape the practice’s future and make a direct impact on our business success. We offer a competitive salary, an excellent benefits package, and career progression. Our benefits include childcare, company events, company pension, cycle to work scheme, employee discount, financial planning services, flexitime, private dental insurance, private medical insurance, sick pay, and store discount. The role is based in person, and the recruitment process may take up to 8 weeks due to vetting requirements.
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