DataOps Jobs in Slough

DataOps
Berkshire > Slough

The table below provides summary statistics for permanent job vacancies advertised in Slough 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 28 June 2025, comparing them to the same period in the previous two years.

6 months to
28 Jun 2025
Same period 2024 Same period 2023
Rank 48 - -
Rank change year-on-year - - -
Permanent jobs citing DataOps 15 0 0
As % of all permanent jobs advertised in Slough 4.78% - -
As % of the Processes & Methodologies category 5.02% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £35,750 - -
Median annual salary (50th Percentile) £36,500 - -
75th Percentile £37,250 - -
90th Percentile - - -
Berkshire median annual salary £36,500 £24,000 £77,500
% change year-on-year +52.08% -69.03% -

All Process and Methodology Skills
Slough

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 Slough.

Permanent vacancies with a requirement for process or methodology skills 299 114 199
As % of all permanent jobs advertised in Slough 95.22% 88.37% 94.31%
Number of salaries quoted 71 97 105
10th Percentile £40,000 £27,750 £25,688
25th Percentile £41,250 £35,500 £46,570
Median annual salary (50th Percentile) £65,000 £45,000 £57,500
Median % change year-on-year +44.44% -21.74% +2.68%
75th Percentile £71,250 £68,750 £71,250
90th Percentile £75,000 £71,250 £75,850
Berkshire median annual salary £57,500 £54,000 £60,000
% change year-on-year +6.48% -10.00% +4.35%

DataOps
Job Vacancy Trend in Slough

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

Job vacancy trend for DataOps in Slough

DataOps
Salary Trend in Slough

3-month moving average salary quoted in jobs citing DataOps in Slough.

Salary trend for DataOps in Slough

DataOps
Co-occurring Skills and Capabilities in Slough 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:

Applications
1 1 (6.67%) Microsoft Excel
Cloud Services
1 9 (60.00%) Vertex AI
2 5 (33.33%) Azure
2 5 (33.33%) Azure Data Factory
2 5 (33.33%) Azure Synapse Analytics
2 5 (33.33%) GCP
3 1 (6.67%) Power Platform
Database & Business Intelligence
1 14 (93.33%) Data Mining
2 1 (6.67%) Power BI
2 1 (6.67%) Tableau
General
1 15 (100.00%) Social Skills
2 14 (93.33%) Analytical Skills
2 14 (93.33%) Law
2 14 (93.33%) Retail
Job Titles
1 14 (93.33%) Lead
1 14 (93.33%) Senior
2 1 (6.67%) Administrator
2 1 (6.67%) Salesforce Administrator
Miscellaneous
1 14 (93.33%) Algorithms
Processes & Methodologies
1 15 (100.00%) Analytics
1 15 (100.00%) Artificial Intelligence
1 15 (100.00%) Visualisation
2 14 (93.33%) Agile
2 14 (93.33%) Customer-Centricity
2 14 (93.33%) Data Engineering
2 14 (93.33%) Data Science
2 14 (93.33%) DevOps
2 14 (93.33%) Incident Management
2 14 (93.33%) Machine Learning
2 14 (93.33%) Natural Language Processing
2 14 (93.33%) Performance Monitoring
2 14 (93.33%) Problem-Solving
2 14 (93.33%) Product Management
2 14 (93.33%) Statistical Analysis
2 14 (93.33%) Statistical Modelling
2 14 (93.33%) Strategic Thinking
2 14 (93.33%) Technical Architecture
2 14 (93.33%) Time Series Analysis
2 14 (93.33%) Use Case
Vendors
1 14 (93.33%) Microsoft
2 9 (60.00%) Google
2 9 (60.00%) OpenAI
3 5 (33.33%) Databricks
4 1 (6.67%) Salesforce