Azure Databricks Contract Job Trends in Swindon

Azure Databricks
Wiltshire > Swindon

The table below provides summary statistics and contractor rates for jobs advertised in Swindon requiring Azure Databricks skills. It covers contract job vacancies from the 6 months leading up to 30 August 2026, with comparisons to the same periods in the previous two years.

6 months to
30 Aug 2026
Same period 2025 Same period 2024
Rank 35 - -
Rank change year-on-year - - -
Contract jobs citing Azure Databricks 1 0 0
As % of all contract jobs in Swindon 0.45% - -
As % of the Cloud Services category 1.59% - -
Number of daily rates quoted 0 0 0
Median daily rate (50th Percentile) - - -
Wiltshire median daily rate - - -

All Cloud Computing Skills
Swindon

Azure Databricks falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring cloud computing skills in Swindon.

Contract vacancies with a requirement for cloud computing skills 63 39 44
As % of all contract IT jobs advertised in Swindon 28.38% 34.51% 36.07%
Number of daily rates quoted 34 20 29
10th Percentile £384 £156 £180
25th Percentile £420 £211 £200
Median daily rate (50th Percentile) £538 £405 £450
Median % change year-on-year +32.84% -10.00% -25.62%
75th Percentile £738 £525 £600
90th Percentile £925 £553 £641
Wiltshire median daily rate £500 £475 £525
% change year-on-year +5.26% -9.52% -4.55%
Number of hourly rates quoted 4 0 0
10th Percentile - - -
25th Percentile £14.36 - -
Median hourly rate £14.43 - -
75th Percentile £14.49 - -
90th Percentile - - -
Wiltshire median hourly rate £14.43 £22.50 -
% change year-on-year -35.89% - -

Azure Databricks
Job Vacancy Trend in Swindon

Historical trend showing the proportion of contract IT job postings citing Azure Databricks relative to all contract IT jobs advertised in Swindon.

Azure Databricks job vacancy trend in Swindon

Azure Databricks
Co-Occurring Skills & Capabilities in Swindon 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 Spark
Cloud Services
1 1 (100.00%) Azure
Database & Business Intelligence
1 1 (100.00%) Big Data
Development Applications
1 1 (100.00%) MLflow
Libraries, Frameworks & Software Standards
1 1 (100.00%) Keras
1 1 (100.00%) PyTorch
1 1 (100.00%) TensorFlow
Processes & Methodologies
1 1 (100.00%) Containerisation
1 1 (100.00%) Data Cleansing
1 1 (100.00%) Deep Learning
1 1 (100.00%) Feature Engineering
1 1 (100.00%) Feature Extraction
1 1 (100.00%) Machine Learning
1 1 (100.00%) MLOps
Programming Languages
1 1 (100.00%) Python
Qualifications
1 1 (100.00%) Security Cleared
System Software
1 1 (100.00%) Docker
Systems Management
1 1 (100.00%) Kubernetes
Vendors
1 1 (100.00%) Databricks