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.