DataOps Jobs in Liverpool

DataOps
Merseyside > Liverpool

The table below provides summary statistics for permanent job vacancies advertised in Liverpool requiring DataOps skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited DataOps over the 6 months leading up to 19 May 2025, comparing them to the same period in the previous two years.

6 months to
19 May 2025
Same period 2024 Same period 2023
Rank 44 79 91
Rank change year-on-year +35 +12 -
Permanent jobs citing DataOps 1 5 5
As % of all permanent jobs advertised in Liverpool 0.37% 0.46% 0.54%
As % of the Processes & Methodologies category 0.39% 0.57% 0.58%
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £72,500 - -
Median annual salary (50th Percentile) £80,000 - -
75th Percentile £87,500 - -
90th Percentile - - -
Merseyside median annual salary £80,000 - -

All Process and Methodology Skills
Liverpool

DataOps falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Liverpool.

Permanent vacancies with a requirement for process or methodology skills 256 882 860
As % of all permanent jobs advertised in Liverpool 95.88% 81.67% 92.08%
Number of salaries quoted 153 588 371
10th Percentile £30,000 £28,250 £28,750
25th Percentile £31,250 £35,938 £37,375
Median annual salary (50th Percentile) £46,000 £46,750 £47,500
Median % change year-on-year -1.60% -1.58% -
75th Percentile £63,750 £62,500 £60,000
90th Percentile £79,500 £82,725 £70,000
Merseyside median annual salary £46,000 £45,000 £45,000
% change year-on-year +2.22% - -5.26%

DataOps
Job Vacancy Trend in Liverpool

Job postings citing DataOps as a proportion of all IT jobs advertised in Liverpool.

Job vacancy trend for DataOps in Liverpool

DataOps
Co-occurring Skills and Capabilities in Liverpool 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 1 (100.00%) Amazon S3
1 1 (100.00%) AWS
1 1 (100.00%) Azure
1 1 (100.00%) Azure Synapse Analytics
1 1 (100.00%) dbt
1 1 (100.00%) GCP
1 1 (100.00%) Snowflake
Database & Business Intelligence
1 1 (100.00%) Amazon Athena
1 1 (100.00%) Amazon Redshift
1 1 (100.00%) BigQuery
Job Titles
1 1 (100.00%) Data Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) Kafka
Processes & Methodologies
1 1 (100.00%) Agile
1 1 (100.00%) Analytics
1 1 (100.00%) CI/CD
1 1 (100.00%) Data Pipeline
1 1 (100.00%) ETL
1 1 (100.00%) OO
1 1 (100.00%) Software Engineering
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL
Vendors
1 1 (100.00%) Databricks