Hadoop Job Trends in Salford

Apache Hadoop
Manchester > Salford

The table below provides summary statistics and salary benchmarking for jobs advertised in Salford requiring Hadoop skills. It covers permanent job vacancies from the 6 months leading up to 16 September 2026, with comparisons to the same periods in the previous two years.

6 months to
16 Sep 2026
Same period 2025 Same period 2024
Rank 36 - -
Rank change year-on-year - - -
Permanent jobs citing Hadoop 1 0 0
As % of all permanent jobs in Salford 0.27% - -
As % of the Database & Business Intelligence category 5.56% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Manchester median annual salary - £68,750 £53,750
% change year-on-year - +27.91% -28.86%

All Database & Business Intelligence Skills
Salford

Hadoop 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 Salford.

Permanent vacancies with a requirement for database or business intelligence skills 18 8 24
As % of all permanent jobs advertised in Salford 4.85% 10.26% 16.00%
Number of salaries quoted 12 2 1
10th Percentile £28,444 - -
25th Percentile £36,250 £42,500 £64,471
Median annual salary (50th Percentile) £41,250 £45,000 £69,308
Median % change year-on-year -8.33% -35.07% +45.91%
75th Percentile £57,188 £47,500 £74,144
90th Percentile £63,750 - -
Manchester median annual salary £55,000 £58,000 £55,000
% change year-on-year -5.17% +5.45% -8.33%

Hadoop
Job Vacancy Trend in Salford

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

Hadoop job vacancy trend in Salford

Hadoop
Salary Trend in Salford

Salary distribution trend for jobs in Salford citing Hadoop.

Salary distribution trend for jobs in Salford citing Hadoop

Hadoop
Co-Occurring Skills & Capabilities in Salford 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:

Business Applications
1 1 (100.00%) Academy Revenues and Benefits
Cloud Services
1 1 (100.00%) Amazon CloudWatch
1 1 (100.00%) Amazon EC2
1 1 (100.00%) Amazon EMR
1 1 (100.00%) Amazon Neptune
1 1 (100.00%) Amazon S3
1 1 (100.00%) AWS
1 1 (100.00%) AWS Lambda
1 1 (100.00%) Azure
1 1 (100.00%) Serverless
1 1 (100.00%) Virtual Private Cloud
Database & Business Intelligence
1 1 (100.00%) Amazon RDS
1 1 (100.00%) Data Lake
1 1 (100.00%) Data Warehouse
1 1 (100.00%) NoSQL
General
1 1 (100.00%) Public Sector
Job Titles
1 1 (100.00%) Data Engineer
1 1 (100.00%) Lead
1 1 (100.00%) Lead Data Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) Terraform
Miscellaneous
1 1 (100.00%) Cloud Native
Processes & Methodologies
1 1 (100.00%) Agile
1 1 (100.00%) AI
1 1 (100.00%) Analytics
1 1 (100.00%) Coaching
1 1 (100.00%) Continuous Improvement
1 1 (100.00%) Customer Service
1 1 (100.00%) Dashboard Development
1 1 (100.00%) Data Analytics
1 1 (100.00%) Data Engineering
1 1 (100.00%) Data Governance
1 1 (100.00%) Data Ingestion
1 1 (100.00%) Data Pipeline
1 1 (100.00%) Data Science
1 1 (100.00%) Decision-Making
1 1 (100.00%) DevOps
1 1 (100.00%) ETL
1 1 (100.00%) High Availability
1 1 (100.00%) Machine Learning
1 1 (100.00%) Stakeholder Engagement
1 1 (100.00%) Technical Leadership
Qualifications
1 1 (100.00%) SC Cleared
1 1 (100.00%) Security Cleared
Quality Assurance & Compliance
1 1 (100.00%) Data Quality
Vendors
1 1 (100.00%) Databricks
1 1 (100.00%) YouTube