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Data Engineer

Derisk360

London

Remote

GBP 60,000 - 80,000

Full time

2 days ago

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Job summary

A leading company in the data engineering field is seeking a Data Engineer in London. This role involves architecting and developing data pipelines, designing graph database solutions, and managing large-scale datasets using advanced technologies on Google Cloud Platform. Candidates should possess significant experience and relevant certifications, offering a chance to work with enterprise clients across EMEA.

Qualifications

8+ years experience in data engineering.
Proficiency in SQL, Python, and Cypher.
Experience with Neo4j required.

Responsibilities

Architect and develop end-to-end data pipelines on GCP.
Design advanced Graph Database solutions using Neo4j.
Create ETL/ELT workflows leveraging GCP services.

Skills

SQL

Python

Cypher

Graph Theory

Data Ingestion

Education

Bachelor’s degree in Computer Science or related field

Tools

Neo4j

BigQuery

Dataflow

Pub/Sub

Apache Beam

Spark

Kafka

Join to apply for the Data Engineer role at Derisk360

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.

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Information Technology
Industries
Information Services

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