Apache Spark Job Trends in Lincolnshire

Apache Spark
East Midlands > Lincolnshire

The table below provides summary statistics and salary benchmarking for jobs advertised in Lincolnshire requiring Apache Spark skills. It covers permanent job vacancies from the 6 months leading up to 26 March 2026, with comparisons to the same periods in the previous two years.

6 months to
26 Mar 2026
Same period 2025 Same period 2024
Rank 52 - -
Rank change year-on-year - - -
Permanent jobs citing Apache Spark 1 0 0
As % of all permanent jobs in Lincolnshire 0.17% - -
As % of the Application Platforms category 3.23% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £47,500 - -
Median annual salary (50th Percentile) £50,000 - -
75th Percentile £52,500 - -
90th Percentile - - -
East Midlands median annual salary £50,000 £75,000 £60,000
% change year-on-year -33.33% +25.00% -

All Application Platform Skills
Lincolnshire

Apache Spark falls under the Application Platforms category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring application platform skills in Lincolnshire.

Permanent vacancies with a requirement for application platform skills 31 16 37
As % of all permanent jobs advertised in Lincolnshire 5.29% 11.03% 7.24%
Number of salaries quoted 24 16 37
10th Percentile - £26,250 £25,750
25th Percentile £31,250 £32,250 £26,250
Median annual salary (50th Percentile) £40,000 £37,500 £33,500
Median % change year-on-year +6.67% +11.94% -46.40%
75th Percentile £48,500 £44,688 £43,750
90th Percentile £52,200 £68,750 £53,100
East Midlands median annual salary £37,500 £35,000 £40,000
% change year-on-year +7.14% -12.50% -1.94%

Apache Spark
Job Vacancy Trend in Lincolnshire

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

Apache Spark job vacancy trend in Lincolnshire

Apache Spark
Co-Occurring Skills & Capabilities in Lincolnshire 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 1 (100.00%) AWS
1 1 (100.00%) Azure
1 1 (100.00%) GCP
General
1 1 (100.00%) Law
Job Titles
1 1 (100.00%) Data Engineer
1 1 (100.00%) Optimisation Engineer
1 1 (100.00%) Senior
1 1 (100.00%) Senior Data Engineer
Processes & Methodologies
1 1 (100.00%) AI
1 1 (100.00%) Analytics
1 1 (100.00%) Machine Learning
1 1 (100.00%) Software Engineering
1 1 (100.00%) Use Case
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