Databricks Job Trends in Gateshead

Databricks
Tyne and Wear > Gateshead

The table below provides summary statistics for permanent job vacancies advertised in Gateshead 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 2 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
2 Aug 2026
Same period 2025 Same period 2024
Rank 19 - -
Rank change year-on-year - - -
Permanent jobs citing Databricks 1 0 0
As % of all permanent jobs in Gateshead 0.75% - -
As % of the Vendors category 7.14% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £92,500 - -
Median annual salary (50th Percentile) £105,000 - -
75th Percentile £117,500 - -
90th Percentile - - -
Tyne and Wear median annual salary £85,000 £48,000 £73,750
% change year-on-year +77.08% -34.92% +13.46%

All Vendors
Gateshead

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 Gateshead.

Permanent vacancies with a requirement for knowledge or experience of vendor products and services 14 14 16
As % of all permanent jobs advertised in Gateshead 10.45% 66.67% 34.04%
Number of salaries quoted 11 10 14
10th Percentile - £36,825 £31,500
25th Percentile £37,500 £37,500 £34,063
Median annual salary (50th Percentile) £40,000 £40,000 £37,500
Median % change year-on-year - +6.67% +15.38%
75th Percentile £42,500 £42,500 £42,500
90th Percentile - - £49,750
Tyne and Wear median annual salary £48,445 £40,000 £44,274
% change year-on-year +21.11% -9.65% -8.28%

Databricks
Co-Occurring Skills & Capabilities in Gateshead 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 Airflow
Cloud Services
1 1 (100.00%) Azure
Development Applications
1 1 (100.00%) Git
General
1 1 (100.00%) Social Skills
Job Titles
1 1 (100.00%) Data Engineer
Processes & Methodologies
1 1 (100.00%) Analytics
1 1 (100.00%) Data Analytics
1 1 (100.00%) Data Pipeline
1 1 (100.00%) Validation
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL
Quality Assurance & Compliance
1 1 (100.00%) Data Quality