Databricks Job Trends in Abingdon

Databricks
Oxfordshire > Abingdon

The table below provides summary statistics for permanent job vacancies advertised in Abingdon 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 12 August 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
12 Aug 2026
Same period 2025 Same period 2024
Rank 27 - -
Rank change year-on-year - - -
Permanent jobs citing Databricks 1 0 0
As % of all permanent jobs in Abingdon 0.50% - -
As % of the Vendors category 3.03% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £101,250 - -
Median annual salary (50th Percentile) £107,500 - -
75th Percentile £113,750 - -
90th Percentile - - -
Oxfordshire median annual salary £82,500 £65,000 £75,000
% change year-on-year +26.92% -13.33% -27.54%

All Vendors
Abingdon

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 Abingdon.

Permanent vacancies with a requirement for knowledge or experience of vendor products and services 33 8 29
As % of all permanent jobs advertised in Abingdon 16.34% 33.33% 23.20%
Number of salaries quoted 26 8 27
10th Percentile £32,500 £34,725 £29,750
25th Percentile £37,875 £39,322 £45,000
Median annual salary (50th Percentile) £62,500 £41,750 £46,293
Median % change year-on-year +49.70% -9.81% -33.87%
75th Percentile £65,000 £44,250 £52,500
90th Percentile £78,125 £48,975 £55,500
Oxfordshire median annual salary £52,500 £41,500 £46,293
% change year-on-year +26.51% -10.35% -15.83%

Databricks
Co-Occurring Skills & Capabilities in Abingdon 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
General
1 1 (100.00%) Inclusion and Diversity
1 1 (100.00%) Manufacturing
Job Titles
1 1 (100.00%) Head of AI
Processes & Methodologies
1 1 (100.00%) AI
1 1 (100.00%) Analytics
1 1 (100.00%) Data Engineering
1 1 (100.00%) Data Governance
1 1 (100.00%) Data Strategy
1 1 (100.00%) Decision-Making
1 1 (100.00%) Machine Learning