MongoDB Jobs in Swindon

MongoDB
Wiltshire > Swindon

The table below provides summary statistics for permanent job vacancies advertised in Swindon requiring MongoDB skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited MongoDB over the 6 months leading up to 2 May 2025, comparing them to the same period in the previous two years.

6 months to
2 May 2025
Same period 2024 Same period 2023
Rank 27 53 -
Rank change year-on-year +26 - -
Permanent jobs citing MongoDB 1 2 0
As % of all permanent jobs advertised in Swindon 0.73% 0.44% -
As % of the Database & Business Intelligence category 6.25% 2.67% -
Number of salaries quoted 0 2 0
Median annual salary (50th Percentile) - £45,000 -
Wiltshire median annual salary - £45,000 -

All Database and Business Intelligence Skills
Swindon

MongoDB falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Swindon.

Permanent vacancies with a requirement for database or business intelligence skills 16 75 41
As % of all permanent jobs advertised in Swindon 11.68% 16.59% 9.88%
Number of salaries quoted 15 69 37
10th Percentile £32,350 £27,500 £39,200
25th Percentile £44,375 £42,000 £42,500
Median annual salary (50th Percentile) £55,000 £50,000 £70,000
Median % change year-on-year +10.00% -28.57% +40.00%
75th Percentile £72,500 £70,000 £75,000
90th Percentile £79,250 £71,500 £81,500
Wiltshire median annual salary £52,500 £51,750 £55,000
% change year-on-year +1.45% -5.91% +4.76%

MongoDB
Job Vacancy Trend in Swindon

Job postings citing MongoDB as a proportion of all IT jobs advertised in Swindon.

Job vacancy trend for MongoDB in Swindon

MongoDB
Salary Trend in Swindon

3-month moving average salary quoted in jobs citing MongoDB in Swindon.

Salary trend for MongoDB in Swindon

MongoDB
Co-occurring Skills and Capabilities in Swindon 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:

Cloud Services
1 1 (100.00%) AWS
1 1 (100.00%) Azure
1 1 (100.00%) GCP
Database & Business Intelligence
1 1 (100.00%) NoSQL
1 1 (100.00%) RDBMS
1 1 (100.00%) Relational Database
General
1 1 (100.00%) Social Skills
Job Titles
1 1 (100.00%) Support Engineer
Miscellaneous
1 1 (100.00%) Replication
Operating Systems
1 1 (100.00%) Linux
Processes & Methodologies
1 1 (100.00%) Configuration Management
1 1 (100.00%) Creative Thinking
1 1 (100.00%) Mentoring
1 1 (100.00%) Performance Tuning
1 1 (100.00%) Problem-Solving
Programming Languages
1 1 (100.00%) Bash
1 1 (100.00%) PowerShell
1 1 (100.00%) Python
Systems Management
1 1 (100.00%) Ansible
1 1 (100.00%) Grafana
1 1 (100.00%) Nagios
1 1 (100.00%) Progress Chef
1 1 (100.00%) Prometheus
1 1 (100.00%) Puppet
Vendors
1 1 (100.00%) Google