BigQuery Job Trends in Blackpool

Google BigQuery
Lancashire > Blackpool

The table below provides summary statistics and salary benchmarking for jobs advertised in Blackpool requiring BigQuery skills. It covers permanent job vacancies from the 6 months leading up to 7 March 2026, with comparisons to the same periods in the previous two years.

 6 months to
7 Mar 2026		 Same period 2025 Same period 2024
Rank 24 - 17
Rank change year-on-year - - -
Permanent jobs citing BigQuery 2 0 5
As % of all permanent jobs in Blackpool 1.26% - 5.88%
As % of the Database & Business Intelligence category 20.00% - 45.45%
Number of salaries quoted 2 0 5
10th Percentile - - -
25th Percentile £64,439 - £42,725
Median annual salary (50th Percentile) £70,932 - £45,249
75th Percentile £77,424 - £47,772
90th Percentile - - -
Lancashire median annual salary £70,932 - £45,249

All Database & Business Intelligence Skills
Blackpool

BigQuery falls under the Databases and Business Intelligence category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring database or business intelligence skills in Blackpool.

Permanent vacancies with a requirement for database or business intelligence skills 10 17 11
As % of all permanent jobs advertised in Blackpool 6.29% 31.48% 12.94%
Number of salaries quoted 8 2 11
10th Percentile £36,525 £43,250 £42,238
25th Percentile £45,779 £44,375 £42,481
Median annual salary (50th Percentile) £61,531 £47,500 £45,249
Median % change year-on-year +29.54% +4.98% -9.50%
75th Percentile £77,424 £49,375 £56,688
90th Percentile £80,641 £49,750 £65,603
Lancashire median annual salary £43,925 £50,890 £45,249
% change year-on-year -13.69% +12.47% +0.55%

BigQuery
Job Vacancy Trend in Blackpool

Historical trend showing the proportion of permanent IT job postings citing BigQuery relative to all permanent IT jobs advertised in Blackpool.

BigQuery job vacancy trend in Blackpool

BigQuery
Co-Occurring Skills & Capabilities in Blackpool 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 2 (100.00%) SAS
Cloud Services
1 2 (100.00%) Azure
1 2 (100.00%) Azure Synapse Analytics
1 2 (100.00%) GCP
1 2 (100.00%) Snowflake
Database & Business Intelligence
1 2 (100.00%) Amazon Redshift
1 2 (100.00%) Data Lake
1 2 (100.00%) Data Warehouse
1 2 (100.00%) Metadata
General
1 2 (100.00%) Public Sector
Job Titles
1 2 (100.00%) Architect
1 2 (100.00%) Senior
1 2 (100.00%) Senior Architect
1 2 (100.00%) Senior Technical Architect
1 2 (100.00%) Technical Architect
Miscellaneous
1 2 (100.00%) Product Ownership
Processes & Methodologies
1 2 (100.00%) Analytics
1 2 (100.00%) Business Intelligence
1 2 (100.00%) Coaching
1 2 (100.00%) Data Architecture
1 2 (100.00%) Data Modelling
1 2 (100.00%) Data Science
1 2 (100.00%) Digital Strategy
1 2 (100.00%) Mentoring
1 2 (100.00%) Metadata Management
1 2 (100.00%) Translating Business Requirements
Quality Assurance & Compliance
1 2 (100.00%) Data Quality
BigQuery jobs