Data Engineer

United Kingdom

6/12/2025

We’re Hiring: Data Engineer

Location: UK (Flexible time zone, remote/hybrid available)

Experience: 8+ years

Contract: 6 Months

Language Requirement: Fluent in English

Certification Required: Google Professional Data Engineer or equivalent

Are you an experienced Data Engineer passionate about modern data platforms and graph-based architectures? Join Derisk360 to help enterprise clients across EMEA design intelligent, scalable solutions on GCP that unlock value from complex, connected datasets.

What You’ll Do:

• Architect and develop end-to-end data pipelines on Google Cloud Platform (GCP), integrating structured, semi-structured, and unstructured data sources.
• Design and implement advanced Graph Database solutions using Neo4j, Cypher queries, and GCP-native integrations.
• Create ETL/ELT workflows leveraging GCP services including Dataflow, Pub/Sub, BigQuery, and Cloud Storage.
• Model real-world use cases in Neo4j such as fraud detection, knowledge graphs, and network analysis.
• Optimize graph database performance, ensure query scalability, and maintain system efficiency.
• Manage ingestion of large-scale datasets using Apache Beam, Spark, or Kafka into GCP environments.
• Implement metadata management, security, and data governance using Data Catalog and IAM.
• Collaborate with cross-functional teams and clients across diverse EMEA time zones and domains.
  
  
  

What You Bring:

• 5+ years of experience in data engineering, including 2+ years with Neo4j or another Graph DB platform.
• Proficiency in SQL, Python, and Cypher query language.
• Strong hands-on experience with BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
• Expertise in graph theory, graph schema modeling, and data relationship mapping.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Fluent in English.
• Certification: Google Professional Data Engineer or equivalent (e.g., AWS Big Data, Azure Data Engineer).
  
  
  

Nice to Have:

• 8 to 10+ years of overall experience.
• Experience with open-source Graph DB tools and ingestion/optimization techniques.
• Familiarity with Graph Data Science libraries in Neo4j.
• Understanding of data architecture principles, data mesh, and distributed processing.
• Prior experience in customer-facing roles or professional services.
• Awareness of GDPR, data security, and regional data residency standards.
  
  
  

What You’ll Get:

• Lead the design of mission-critical data platforms for clients across EMEA.
• Work on cutting-edge graph-based use cases including fraud detection and knowledge graphs.
• Hands-on experience with modern cloud-native and open-source technologies.
• Join a culture of innovation, engineering excellence, and continuous learning.