Data Engineer

• We design and implement data pipelines from diverse sources across the full data lifecycle.
• We maintain data products while ensuring data integrity, accessibility, scalability, and security.
• We deliver data solutions for graph, analytics, or knowledge management platforms.
• We optimise and improve the full data architecture stack.
• We integrate workflow applications and analytics into a coherent architecture.
• We support technical delivery as part of our initial Data Practice.
• We collaborate with colleagues and partners while learning and shaping the evolution of our practice.

Technologies:

• AI
• Big Data
• Databricks
• ETL
• Support
• Neo4J
• Security
• Snowflake
• Spark

• We require demonstrable experience working with big data sets in highly available environments.
• We require full data engineering lifecycle experience.
• We require experience delivering end-to-end data solutions for graph, analytics, or knowledge management platforms.
• We require a strong understanding of the full data architecture stack, including optimisations and efficiencies.
• We require experience integrating workflow applications and analytics into a coherent architecture.
• We require technical team leadership experience and confidence in delivery.
• We require knowledge of graph or analytics technology stacks or AI data processing, including entity resolution, Neo4J, Databricks, Spark, Snowflake, ETL, and data pipelines.
• We require British citizenship.
• We require the ability to obtain security clearance.

We are Redhorse International, building a new Data Practice in the UK with a focus on graph technologies. This is an exciting opportunity to become our first Data Practice resource and help shape how the practice evolves, with direct impact on the success of the business. We offer a competitive salary, excellent benefits, 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 due to vetting requirements the recruitment process may take up to 8 weeks.