Spark SQL Job Trends in Sheffield

Apache Spark SQL
South Yorkshire > Sheffield

The table below provides summary statistics and salary benchmarking for jobs advertised in Sheffield requiring Spark SQL skills. It covers permanent job vacancies from the 6 months leading up to 19 August 2026, with comparisons to the same periods in the previous two years.

6 months to
19 Aug 2026
Same period 2025 Same period 2024
Rank 59 - 70
Rank change year-on-year - - -
Permanent jobs citing Spark SQL 12 0 2
As % of all permanent jobs in Sheffield 1.17% - 0.21%
As % of the Database & Business Intelligence category 13.64% - 1.53%
Number of salaries quoted 12 0 2
10th Percentile £77,500 - -
25th Percentile £80,313 - £44,738
Median annual salary (50th Percentile) £82,500 - £49,274
75th Percentile £83,750 - £53,811
90th Percentile - - -
South Yorkshire median annual salary £82,500 - £49,274

All Database & Business Intelligence Skills
Sheffield

Spark SQL 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 Sheffield.

Permanent vacancies with a requirement for database or business intelligence skills 88 53 131
As % of all permanent jobs advertised in Sheffield 8.57% 13.22% 13.85%
Number of salaries quoted 73 50 88
10th Percentile £39,000 £25,750 £30,875
25th Percentile £41,250 £31,250 £33,750
Median annual salary (50th Percentile) £47,500 £52,000 £46,000
Median % change year-on-year -8.65% +13.04% -0.54%
75th Percentile £74,987 £64,375 £61,250
90th Percentile £83,750 £75,125 £72,875
South Yorkshire median annual salary £45,000 £54,000 £46,000
% change year-on-year -16.67% +17.39% -3.16%

Spark SQL
Job Vacancy Trend in Sheffield

Historical trend showing the proportion of permanent IT job postings citing Spark SQL relative to all permanent IT jobs advertised in Sheffield.

Spark SQL job vacancy trend in Sheffield

Spark SQL
Salary Trend in Sheffield

Salary distribution trend for jobs in Sheffield citing Spark SQL.

Salary distribution trend for jobs in Sheffield citing Spark SQL

Spark SQL
Co-Occurring Skills & Capabilities in Sheffield 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:

Cloud Services
1 12 (100.00%) Azure
1 12 (100.00%) Azure Data Factory
2 9 (75.00%) Azure DevOps
2 9 (75.00%) Azure Functions
2 9 (75.00%) Azure Logic Apps
2 9 (75.00%) Azure Monitor
2 9 (75.00%) Serverless
Database & Business Intelligence
1 9 (75.00%) Data Warehouse
Job Titles
1 12 (100.00%) Data Engineer
1 12 (100.00%) Lead
1 12 (100.00%) Lead Data Engineer
1 12 (100.00%) Platform Engineer
2 9 (75.00%) Azure Engineer
2 9 (75.00%) Azure Platform Engineer
2 9 (75.00%) Cloud Platform Engineer
Libraries, Frameworks & Software Standards
1 12 (100.00%) PySpark
2 9 (75.00%) ARM Templates
2 9 (75.00%) REST
Processes & Methodologies
1 12 (100.00%) CI/CD
1 12 (100.00%) Data Engineering
1 12 (100.00%) DevOps
1 12 (100.00%) Platform Engineering
1 12 (100.00%) Test Automation
2 9 (75.00%) Computer Science
2 9 (75.00%) Cost Optimisation
2 9 (75.00%) Dashboard Development
2 9 (75.00%) Data Governance
2 9 (75.00%) Data Integration
2 9 (75.00%) Data Modelling
2 9 (75.00%) Deployment Automation
2 9 (75.00%) ETL
2 9 (75.00%) Infrastructure as Code
2 9 (75.00%) Observability
2 9 (75.00%) Regulatory Compliance
2 9 (75.00%) Release Management
3 3 (25.00%) Data Pipeline
3 3 (25.00%) Software Engineering
Programming Languages
1 12 (100.00%) SQL
2 9 (75.00%) Python
Qualifications
1 9 (75.00%) Computer Science Degree
1 9 (75.00%) Degree
Quality Assurance & Compliance
1 9 (75.00%) GDPR
Systems Management
1 9 (75.00%) Terraform
Vendors
1 12 (100.00%) Databricks