Job Description

Overview

We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing and implementing data solutions, ensuring data is stored securely and efficiently.

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.

Minimum Qualifications

- 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).

Preferred Qualifications

- 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.

Job Type: Temporary
Contract length: 6 months

Experience:

Data Engineer: 10 years (preferred) Google Cloud Platform: 8 years (preferred) Graph DB platform: 5 years (preferred) Neo4j: 3 years (preferred)
Work authorisation:

* United Kingdom (preferred)