BigQuery Jobs in Preston

Google BigQuery
Lancashire > Preston

The following table provides summary statistics for permanent job vacancies advertised in Preston with a requirement for BigQuery skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited BigQuery over the 6 months to 29 April 2024 with a comparison to the same period in the previous 2 years.

6 months to
29 Apr 2024
Same period 2023 Same period 2022
Rank 33 - -
Rank change year-on-year - - -
Permanent jobs citing BigQuery 4 0 0
As % of all permanent jobs advertised in Preston 1.79% - -
As % of the Database & Business Intelligence category 9.09% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £67,500 - -
Median annual salary (50th Percentile) £70,000 - -
75th Percentile £72,500 - -
90th Percentile - - -
Lancashire median annual salary £45,249 - -

All Database and Business Intelligence Skills
Preston

BigQuery is in the Databases and Business Intelligence category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Preston with a requirement for database or business intelligence skills.

Permanent vacancies with a requirement for database or business intelligence skills 44 34 36
As % of all permanent jobs advertised in Preston 19.73% 12.98% 13.79%
Number of salaries quoted 21 28 15
10th Percentile £32,000 £34,548 £26,750
25th Percentile £41,250 £35,673 £28,801
Median annual salary (50th Percentile) £50,000 £39,750 £41,374
Median % change year-on-year +25.79% -3.92% -12.90%
75th Percentile £57,500 £45,000 £52,500
90th Percentile £61,250 £46,325 £57,500
Lancashire median annual salary £50,000 £47,886 £45,000
% change year-on-year +4.42% +6.41% +12.50%

BigQuery
Job Vacancy Trend in Preston

Job postings citing BigQuery as a proportion of all IT jobs advertised in Preston.

Job vacancy trend for BigQuery in Preston

BigQuery
Co-occurring Skills and Capabilities in Preston by Category

The follow tables expand on the table above by listing co-occurrences grouped by category. The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:

Cloud Services
1 4 (100.00%) GCP
2 1 (25.00%) AWS
2 1 (25.00%) Azure
Database & Business Intelligence
1 3 (75.00%) Looker
2 1 (25.00%) Data Warehouse
General
1 4 (100.00%) Analytical Skills
2 1 (25.00%) Retail
Job Titles
1 3 (75.00%) Data Engineer
1 3 (75.00%) Platform Engineer
1 3 (75.00%) Principal Data Engineer
1 3 (75.00%) Principal Engineer
2 1 (25.00%) Architect
2 1 (25.00%) Data Architect
Miscellaneous
1 3 (75.00%) Self-Motivation
Processes & Methodologies
1 4 (100.00%) Mentoring
1 4 (100.00%) Platform Engineering
1 4 (100.00%) Problem-Solving
2 3 (75.00%) Agile
2 3 (75.00%) Change Management
2 3 (75.00%) Data Engineering
2 3 (75.00%) Data Pipeline
2 3 (75.00%) Data Science
2 3 (75.00%) DataOps
2 3 (75.00%) DevOps
3 1 (25.00%) Data Architecture
3 1 (25.00%) Data Governance
3 1 (25.00%) Data Modelling
3 1 (25.00%) Data Security
3 1 (25.00%) ETL
Quality Assurance & Compliance
1 4 (100.00%) GDPR
Vendors
1 3 (75.00%) Google