MongoDB Contract Job Trends in Wokingham

MongoDB
Berkshire > Wokingham

The table below provides summary statistics and contractor rates for jobs advertised in Wokingham requiring MongoDB skills. It covers contract job vacancies from the 6 months leading up to 22 January 2026, with comparisons to the same periods in the previous two years.

6 months to
22 Jan 2026
Same period 2025 Same period 2024
Rank 56 - -
Rank change year-on-year - - -
Contract jobs citing MongoDB 1 0 0
As % of all contract jobs in Wokingham 0.27% - -
As % of the Database & Business Intelligence category 2.38% - -
Number of daily rates quoted 0 0 0
Median daily rate (50th Percentile) - - -
Berkshire median daily rate £481 £588 -
% change year-on-year -18.09% - -

All Database & BI Skills
Wokingham

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

Contract vacancies with a requirement for database or business intelligence skills 42 7 11
As % of all contract IT jobs advertised in Wokingham 11.17% 6.31% 15.28%
Number of daily rates quoted 34 4 5
10th Percentile - - -
25th Percentile £413 £313 £480
Median daily rate (50th Percentile) £456 £328 £775
Median % change year-on-year +39.31% -57.74% +63.16%
75th Percentile £508 £395 £863
90th Percentile £525 £498 £915
Berkshire median daily rate £513 £578 £575
% change year-on-year -11.26% +0.43% +15.00%

MongoDB
Job Vacancy Trend in Wokingham

Historical trend showing the proportion of contract IT job postings citing MongoDB relative to all contract IT jobs advertised in Wokingham.

MongoDB job vacancy trend in Wokingham

MongoDB
Daily Rate Trend in Wokingham

Contractor daily rate distribution trend for jobs in Wokingham citing MongoDB.

Contractor daily rate distribution trend for jobs in Wokingham citing MongoDB

MongoDB
Co-Occurring Skills & Capabilities in Wokingham by Category

The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:

Cloud Services
1 1 (100.00%) Azure Machine Learning
1 1 (100.00%) Matillion
1 1 (100.00%) Power Platform
1 1 (100.00%) Snowflake
Database & Business Intelligence
1 1 (100.00%) Power BI
1 1 (100.00%) RDBMS
1 1 (100.00%) Relational Database
General
1 1 (100.00%) Public Sector
1 1 (100.00%) Social Skills
Job Titles
1 1 (100.00%) Data Engineer
1 1 (100.00%) Integration Engineer
1 1 (100.00%) Platform Engineer
1 1 (100.00%) Platform Integration Engineer
1 1 (100.00%) Senior
1 1 (100.00%) Senior Data Engineer
1 1 (100.00%) Senior Integration Engineer
1 1 (100.00%) Senior Platform Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) Oracle GoldenGate
Miscellaneous
1 1 (100.00%) AI Agents
1 1 (100.00%) Replication
Processes & Methodologies
1 1 (100.00%) AI
1 1 (100.00%) API Design
1 1 (100.00%) Business Intelligence
1 1 (100.00%) Data Modelling
1 1 (100.00%) Data Virtualisation
1 1 (100.00%) ETL
1 1 (100.00%) Generative AI
1 1 (100.00%) Machine Learning
1 1 (100.00%) Problem-Solving
Qualifications
1 1 (100.00%) Security Cleared
Vendors
1 1 (100.00%) Alteryx
1 1 (100.00%) Databricks
1 1 (100.00%) Oracle