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.
