BigQuery Job Trends in Glasgow

Google BigQuery
Scotland > Glasgow

The table below provides summary statistics and salary benchmarking for jobs advertised in Glasgow requiring BigQuery skills. It covers permanent job vacancies from the 6 months leading up to 20 August 2026, with comparisons to the same periods in the previous two years.

6 months to
20 Aug 2026
Same period 2025 Same period 2024
Rank 76 - 179
Rank change year-on-year - - -
Permanent jobs citing BigQuery 1 0 1
As % of all permanent jobs in Glasgow 0.082% - 0.039%
As % of the Database & Business Intelligence category 1.10% - 0.12%
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £52,500 - -
Median annual salary (50th Percentile) £55,000 - -
75th Percentile £57,500 - -
90th Percentile - - -
Scotland median annual salary £52,500 £94,637 -
% change year-on-year -44.52% - -

All Database & Business Intelligence Skills
Glasgow

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 Glasgow.

Permanent vacancies with a requirement for database or business intelligence skills 91 166 805
As % of all permanent jobs advertised in Glasgow 7.47% 22.96% 31.43%
Number of salaries quoted 48 42 135
10th Percentile £27,000 £36,775 £37,050
25th Percentile £34,063 £38,875 £43,750
Median annual salary (50th Percentile) £58,750 £54,000 £54,000
Median % change year-on-year +8.80% - -6.09%
75th Percentile £77,438 £73,750 £62,500
90th Percentile £85,000 £83,700 £72,750
Scotland median annual salary £59,283 £57,500 £51,500
% change year-on-year +3.10% +11.65% -10.43%

BigQuery
Job Vacancy Trend in Glasgow

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

BigQuery job vacancy trend in Glasgow

BigQuery
Co-Occurring Skills & Capabilities in Glasgow 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
1 1 (100.00%) Azure Data Factory
1 1 (100.00%) Azure DevOps
1 1 (100.00%) Azure Synapse Analytics
1 1 (100.00%) Dagster
1 1 (100.00%) dbt
1 1 (100.00%) GCP
1 1 (100.00%) Prefect
1 1 (100.00%) Snowflake
Database & Business Intelligence
1 1 (100.00%) Amazon Redshift
1 1 (100.00%) Azure SQL Database
1 1 (100.00%) Data Lake
1 1 (100.00%) Data Warehouse
Development Applications
1 1 (100.00%) Git
General
1 1 (100.00%) Analytical Skills
1 1 (100.00%) Social Skills
Job Titles
1 1 (100.00%) Data Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) PySpark
Miscellaneous
1 1 (100.00%) Data Structures
Processes & Methodologies
1 1 (100.00%) Agile
1 1 (100.00%) Analytics
1 1 (100.00%) CI/CD
1 1 (100.00%) Data Architecture
1 1 (100.00%) Data Development
1 1 (100.00%) Data Engineering
1 1 (100.00%) Data Governance
1 1 (100.00%) Data Modelling
1 1 (100.00%) Data Pipeline
1 1 (100.00%) Data Science
1 1 (100.00%) Data Transformation
1 1 (100.00%) Decision-Making
1 1 (100.00%) Deployment Automation
1 1 (100.00%) DevOps
1 1 (100.00%) Infrastructure as Code
1 1 (100.00%) Observability
1 1 (100.00%) Performance Tuning
1 1 (100.00%) Problem-Solving
1 1 (100.00%) Software Engineering
1 1 (100.00%) Test Automation
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL
Quality Assurance & Compliance
1 1 (100.00%) Data Quality
Vendors
1 1 (100.00%) Databricks
1 1 (100.00%) Microsoft