Databricks Job Trends in Barnsley

Databricks
South Yorkshire > Barnsley

The table below provides summary statistics for permanent job vacancies advertised in Barnsley requiring knowledge or experience of Databricks products and/or services. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Databricks over the 6 months leading up to 17 June 2026, comparing them to the same period in the previous two years.

The figures below represent the IT labour market in general and are not representative of salaries within Databricks.

6 months to
17 Jun 2026
Same period 2025 Same period 2024
Rank 30 - -
Rank change year-on-year - - -
Permanent jobs citing Databricks 1 0 0
As % of all permanent jobs in Barnsley 0.58% - -
As % of the Vendors category 1.18% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £57,500 - -
Median annual salary (50th Percentile) £60,000 - -
75th Percentile £62,500 - -
90th Percentile - - -
South Yorkshire median annual salary £82,500 £67,500 £57,500
% change year-on-year +22.22% +17.39% -

All Vendors
Barnsley

Databricks falls under the Vendor Products and Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring knowledge or experience of all vendor products and services in Barnsley.

Permanent vacancies with a requirement for knowledge or experience of vendor products and services 85 2 38
As % of all permanent jobs advertised in Barnsley 49.71% 33.33% 70.37%
Number of salaries quoted 26 2 36
10th Percentile £28,000 £42,375 £29,971
25th Percentile - £44,063 £36,093
Median annual salary (50th Percentile) £40,000 £48,750 £42,500
Median % change year-on-year -17.95% +14.71% -26.09%
75th Percentile £48,000 £54,063 £48,750
90th Percentile £59,375 £56,125 £52,024
South Yorkshire median annual salary £44,000 £41,000 £45,000
% change year-on-year +7.32% -8.89% +12.50%

Databricks
Co-Occurring Skills & Capabilities in Barnsley 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
1 1 (100.00%) Azure Data Factory
1 1 (100.00%) Azure DevOps
1 1 (100.00%) Power Platform
Database & Business Intelligence
1 1 (100.00%) Data Warehouse
1 1 (100.00%) Power BI
1 1 (100.00%) Star Schema
Job Titles
1 1 (100.00%) Data Engineer
Miscellaneous
1 1 (100.00%) Legacy Systems
Processes & Methodologies
1 1 (100.00%) Analytics
1 1 (100.00%) Business Intelligence
1 1 (100.00%) CI/CD
1 1 (100.00%) Data Engineering
1 1 (100.00%) Data Modelling
1 1 (100.00%) Data Pipeline
1 1 (100.00%) Data Transformation
1 1 (100.00%) Decision-Making
1 1 (100.00%) DevOps
1 1 (100.00%) Dimensional Modelling
1 1 (100.00%) Migration
Programming Languages
1 1 (100.00%) SQL
Quality Assurance & Compliance
1 1 (100.00%) Data Quality
Vendors
1 1 (100.00%) Microsoft