Data Engineer

Summary: The Data Engineer role focuses on leveraging GCP services to design intelligent data platforms for EMEA clients, with a strong emphasis on Graph Databases, particularly Neo4j. The position requires hands-on experience in data ingestion and optimization techniques to support complex data use cases. The role is contract-based and remote, lasting for an initial duration of 6 months with the possibility of extension. Candidates should possess a solid background in data engineering and relevant certifications.

Key Responsibilities:

• Architect and build data pipelines on GCP integrating structured, semi-structured, and unstructured data sources.
• Design, implement, and optimize Graph Database solutions using Neo4j, Cypher queries, and GCP integrations.
• Develop ETL/ELT workflows using Dataflow, Pub/Sub, BigQuery, and Cloud Storage.
• Design graph models for real-world applications such as fraud detection, network analysis, and knowledge graphs.
• Optimize performance of graph queries and design for scalability.
• Support 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.
• Work across functional teams and clients in diverse EMEA time zones and project settings.

Key Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 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.
• Knowledge of graph theory, graph schema modeling, and data relationship mapping.
• Fluent in English.
• Certification: Google Professional Data Engineer or equivalent (e.g., AWS Big Data, Azure Data Engineer).
• Overall 8 to 10+ years of experience.
• Experience in creating open-source Graph DB (Neo4j), data ingestion and 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.
• Background in data security, compliance (e.g., GDPR), and regional data residency awareness.

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT