Great Expectations Contract Job Trends in Richmond upon Thames

Great Expectations
West London > Richmond upon Thames

The table below provides summary statistics and contractor rates for jobs advertised in Richmond upon Thames requiring Great Expectations skills. It covers contract job vacancies from the 6 months leading up to 23 October 2025, with comparisons to the same periods in the previous two years.

6 months to
23 Oct 2025
Same period 2024 Same period 2023
Rank 7 - -
Rank change year-on-year - - -
Contract jobs citing Great Expectations 1 0 0
As % of all contract jobs in Richmond upon Thames 6.67% - -
As % of the Libraries, Frameworks & Software Standards category 33.33% - -
Number of daily rates quoted 1 0 0
10th Percentile - - -
25th Percentile £613 - -
Median daily rate (50th Percentile) £625 - -
75th Percentile £638 - -
90th Percentile - - -
West London median daily rate £625 - -

All Software Libraries and Frameworks
Richmond upon Thames

Great Expectations falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring technical specification, industry standards, software libraries and framework skills in Richmond upon Thames.

Contract vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 3 12 22
As % of all contract IT jobs advertised in Richmond upon Thames 20.00% 60.00% 31.43%
Number of daily rates quoted 3 12 22
10th Percentile £453 - £486
25th Percentile £513 £563 £501
Median daily rate (50th Percentile) £625 £581 £531
Median % change year-on-year +7.53% +9.41% -4.92%
75th Percentile £631 £628 £573
90th Percentile £635 £649 £587
West London median daily rate £475 £500 £550
% change year-on-year -5.00% -9.09% -0.45%

Great Expectations
Co-Occurring Skills & Capabilities in Richmond upon Thames 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:

Application Platforms
1 1 (100.00%) Apache
1 1 (100.00%) Apache Spark
Cloud Services
1 1 (100.00%) Amazon S3
1 1 (100.00%) Amazon SQS
1 1 (100.00%) AWS
1 1 (100.00%) AWS CloudFormation
1 1 (100.00%) Azure
1 1 (100.00%) Azure Synapse Analytics
1 1 (100.00%) Collibra
1 1 (100.00%) GCP
1 1 (100.00%) Power Platform
Database & Business Intelligence
1 1 (100.00%) Amazon Athena
1 1 (100.00%) BigQuery
1 1 (100.00%) Data Lake
1 1 (100.00%) Mixpanel
1 1 (100.00%) OLAP
1 1 (100.00%) OLTP
1 1 (100.00%) Power BI
Job Titles
1 1 (100.00%) Data Analytics Engineer
1 1 (100.00%) Data Engineer
1 1 (100.00%) Principal Data Engineer
1 1 (100.00%) Principal Engineer
1 1 (100.00%) Principal Software Engineer
1 1 (100.00%) Software Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) Kafka
Miscellaneous
1 1 (100.00%) Cloud Native
Processes & Methodologies
1 1 (100.00%) AI
1 1 (100.00%) Analytics
1 1 (100.00%) Business Intelligence
1 1 (100.00%) Data Analytics
1 1 (100.00%) Data Architecture
1 1 (100.00%) Data Engineering
1 1 (100.00%) Data Governance
1 1 (100.00%) Data Modelling
1 1 (100.00%) Data Privacy
1 1 (100.00%) DevOps
1 1 (100.00%) Dimensional Modelling
1 1 (100.00%) Disaster Recovery
1 1 (100.00%) ETL
1 1 (100.00%) Infrastructure as Code
1 1 (100.00%) Machine Learning
1 1 (100.00%) MapReduce
1 1 (100.00%) Monte Carlo Method
1 1 (100.00%) Observability
1 1 (100.00%) RBAC
1 1 (100.00%) Software Engineering
Programming Languages
1 1 (100.00%) C#
1 1 (100.00%) Python
1 1 (100.00%) SQL
Quality Assurance & Compliance
1 1 (100.00%) Data Quality
1 1 (100.00%) GDPR
Systems Management
1 1 (100.00%) Terraform
Vendors
1 1 (100.00%) Databricks
1 1 (100.00%) Google