Neo4j Jobs with Work from Home Options

Neo Technology Neo4j
UK > Work from Home

The table below provides summary statistics for permanent job vacancies with an option to work from home (WFH) and a requirement for Neo4j skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Neo4j over the 6 months to 9 May 2024 with a comparison to the same period in the previous 2 years.

6 months to
9 May 2024
Same period 2023 Same period 2022
Rank 577 618 715
Rank change year-on-year +41 +97 -216
Permanent jobs citing Neo4j 12 43 127
As % of all permanent jobs with a WFH option 0.036% 0.10% 0.19%
As % of the Database & Business Intelligence category 0.15% 0.42% 0.63%
Number of salaries quoted 8 13 30
10th Percentile £61,500 - £56,625
25th Percentile £71,250 £52,500 £68,125
Median annual salary (50th Percentile) £72,500 £60,000 £82,500
Median % change year-on-year +20.83% -27.27% +37.50%
75th Percentile £78,750 £80,000 £97,188
90th Percentile £93,000 - £105,000
UK median annual salary £72,500 £59,750 £82,500
% change year-on-year +21.34% -27.58% +37.50%

All Database and Business Intelligence Skills
Work from Home

Neo4j is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies with a WFH option and a requirement for database or business intelligence skills.

Permanent vacancies with a requirement for database or business intelligence skills 7,756 10,266 20,218
As % of all permanent jobs with a WFH option 22.97% 24.75% 29.54%
Number of salaries quoted 6,207 7,033 10,984
10th Percentile £37,000 £40,000 £36,250
25th Percentile £43,750 £49,750 £45,000
Median annual salary (50th Percentile) £57,500 £65,000 £60,000
Median % change year-on-year -11.54% +8.33% +9.09%
75th Percentile £75,000 £82,500 £78,318
90th Percentile £95,280 £102,500 £93,750
UK median annual salary £57,500 £65,000 £60,000
% change year-on-year -11.54% +8.33% +9.09%

Neo4j
Trend for Jobs with a WFH Option

Job vacancies with a work from home option citing Neo4j as a proportion of all IT jobs advertised.

Neo4j trend for jobs with a WFH option

Neo4j
Salary Trend for Jobs with a WFH Option

3-month moving average salary quoted in job vacancies with a work from home option citing Neo4j.

Neo4j salary trend for jobs with a WFH option

Neo4j
Salary Histogram for Jobs with a WFH Option

Salary distribution for jobs with a work from home option citing Neo4j over the 6 months to 9 May 2024.

Neo4j salary histogram for jobs with a WFH option

Neo4j
Co-occurring Skills and Capabilities with WFH Options by Category

The follow tables expand on the table above by listing co-occurrences grouped by category. The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:

Application Platforms
1 4 (33.33%) Apache Spark
Cloud Services
1 6 (50.00%) AWS
2 5 (41.67%) Azure
3 2 (16.67%) GCP
4 1 (8.33%) Amazon EMR
4 1 (8.33%) Amazon Kinesis
4 1 (8.33%) Amazon Neptune
4 1 (8.33%) Snowflake
Database & Business Intelligence
1 7 (58.33%) Relational Database
2 6 (50.00%) PostgreSQL
3 5 (41.67%) InfluxDB
3 5 (41.67%) MySQL
3 5 (41.67%) RDBMS
3 5 (41.67%) TimescaleDB
4 4 (33.33%) Big Data
5 3 (25.00%) Apache Hive
5 3 (25.00%) Hadoop
6 2 (16.67%) NoSQL
7 1 (8.33%) Amazon Athena
7 1 (8.33%) Amazon Redshift
7 1 (8.33%) ArangoDB
7 1 (8.33%) BigQuery
7 1 (8.33%) Data Hub
7 1 (8.33%) Data Warehouse
7 1 (8.33%) DynamoDB
7 1 (8.33%) Looker
7 1 (8.33%) MongoDB
7 1 (8.33%) Spatial Data
Development Applications
1 5 (41.67%) GDB
2 1 (8.33%) Cypress.io
2 1 (8.33%) Git
2 1 (8.33%) Jenkins
2 1 (8.33%) Liquibase
2 1 (8.33%) Spinnaker
2 1 (8.33%) webpack
General
1 5 (41.67%) Social Skills
2 3 (25.00%) Legal
3 1 (8.33%) Finance
Job Titles
1 5 (41.67%) Developer
1 5 (41.67%) Python Developer
2 4 (33.33%) Data Engineer
3 3 (25.00%) Principal Data Engineer
3 3 (25.00%) Principal Engineer
4 1 (8.33%) Administrator
4 1 (8.33%) AWS Data Engineer
4 1 (8.33%) AWS Engineer
4 1 (8.33%) Data Modeller
4 1 (8.33%) DBA
4 1 (8.33%) PostgreSQL DBA
4 1 (8.33%) Software Engineer
Libraries, Frameworks & Software Standards
1 6 (50.00%) Kafka
2 5 (41.67%) Django
2 5 (41.67%) FastAPI
2 5 (41.67%) Flask
3 1 (8.33%) GraphQL
3 1 (8.33%) Jest
3 1 (8.33%) Node.js
3 1 (8.33%) Node-RED
3 1 (8.33%) React
3 1 (8.33%) Spark Streaming
Miscellaneous
1 3 (25.00%) Algorithms
1 3 (25.00%) Cloud Native
1 3 (25.00%) Data Structures
2 1 (8.33%) Social Network
Operating Systems
1 1 (8.33%) Linux
Processes & Methodologies
1 8 (66.67%) Digital Twin
2 6 (50.00%) Artificial Intelligence
2 6 (50.00%) Data Pipeline
3 5 (41.67%) ETL
3 5 (41.67%) Event-Driven
3 5 (41.67%) Load Balancing
3 5 (41.67%) Microservices
4 4 (33.33%) Data Engineering
4 4 (33.33%) Data Governance
4 4 (33.33%) Data Management
4 4 (33.33%) Data Modelling
4 4 (33.33%) Data Visualisation
4 4 (33.33%) Problem-Solving
4 4 (33.33%) Visualisation
5 3 (25.00%) Analytics
5 3 (25.00%) Asset Management
5 3 (25.00%) Data Analysis
5 3 (25.00%) Data Cleansing
5 3 (25.00%) Data Integration
5 3 (25.00%) Data Transformation
Programming Languages
1 10 (83.33%) Python
2 5 (41.67%) SQL
3 3 (25.00%) R
4 2 (16.67%) Java
4 2 (16.67%) Scala
5 1 (8.33%) Cypher
5 1 (8.33%) Gremlin
5 1 (8.33%) JavaScript
5 1 (8.33%) PL/SQL
5 1 (8.33%) Shell Script
5 1 (8.33%) TypeScript
Quality Assurance & Compliance
1 1 (8.33%) Accessibility
1 1 (8.33%) Data Quality
1 1 (8.33%) QA
System Software
1 1 (8.33%) Docker
Systems Management
1 1 (8.33%) Ansible
1 1 (8.33%) Kubernetes
1 1 (8.33%) Terraform
Vendors
1 1 (8.33%) Cloudera
1 1 (8.33%) Databricks
1 1 (8.33%) Google
1 1 (8.33%) Hortonworks
1 1 (8.33%) Microsoft
1 1 (8.33%) Oracle