Operations Engineer Jobs in Tyne and Wear

Operations Engineer
North East > Tyne and Wear

The median Operations Engineer salary in Tyne and Wear is £65,000 per year, according to job vacancies posted during the 6 months leading to 4 August 2025.

The table below provides salary benchmarking and summary statistics, comparing them to the same period in the previous two years.

6 months to
4 Aug 2025
Same period 2024 Same period 2023
Rank 61 79 -
Rank change year-on-year +18 - -
Permanent jobs requiring an Operations Engineer 2 6 0
As % of all permanent jobs advertised in Tyne and Wear 0.26% 0.54% -
As % of the Job Titles category 0.28% 0.56% -
Number of salaries quoted 1 3 0
Median annual salary (50th Percentile) £65,000 £60,000 -
Median % change year-on-year +8.33% - -
North East median annual salary £65,000 £60,000 £42,500
% change year-on-year +8.33% +41.18% -27.35%

All Permanent IT Job Vacancies
Tyne and Wear

For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies in Tyne and Wear. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.

Permanent vacancies in Tyne and Wear with a recognized job title 702 1,070 553
% of permanent jobs with a recognized job title 91.17% 97.10% 81.93%
Number of salaries quoted 476 814 414
10th Percentile £25,000 £26,000 £30,500
25th Percentile £25,087 £35,920 £37,867
Median annual salary (50th Percentile) £42,312 £46,712 £50,000
Median % change year-on-year -9.42% -6.58% -
75th Percentile £60,000 £62,500 £63,750
90th Percentile £70,625 £75,000 £75,000
North East median annual salary £30,000 £45,000 £50,000
% change year-on-year -33.33% -10.00% +11.11%

Operations Engineer
Job Vacancy Trend in Tyne and Wear

Job postings that featured Operations Engineer in the job title as a proportion of all IT jobs advertised in Tyne and Wear.

Job vacancy trend for Operations Engineer in Tyne and Wear

Operations Engineer
Salary Trend in Tyne and Wear

3-month moving average salary quoted in jobs citing Operations Engineer in Tyne and Wear.

Salary trend for Operations Engineer in Tyne and Wear

Operations Engineer
Job Locations in Tyne and Wear

The table below looks at the demand and provides a guide to the median salaries quoted in IT jobs citing Operations Engineer within the Tyne and Wear region over the 6 months to 4 August 2025. The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.

Location Rank Change
on Same Period
Last Year
Matching
Permanent
IT Job Ads
Median Salary
Past 6 Months
Median Salary
% Change
on Same Period
Last Year
Live
Jobs
Newcastle upon Tyne +13 2 £65,000 +8.33% 1
Operations Engineer
North East

Operations Engineer Skill Set
Top 30 Co-occurring Skills and Capabilities in Tyne and Wear

For the 6 months to 4 August 2025, Operations Engineer job roles required the following skills and capabilities in order of popularity. The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Tyne and Wear region featuring Operations Engineer in the job title.

1 1 (50.00%) SQL
1 1 (50.00%) Unix
1 1 (50.00%) OOP
1 1 (50.00%) OO
1 1 (50.00%) Python
1 1 (50.00%) Information Security
1 1 (50.00%) Artificial Intelligence
1 1 (50.00%) Unit Testing
1 1 (50.00%) Time Management
1 1 (50.00%) YAML
1 1 (50.00%) OWASP
1 1 (50.00%) Visualisation
1 1 (50.00%) Amazon S3
1 1 (50.00%) AWS
1 1 (50.00%) NumPy
1 1 (50.00%) Machine Learning
1 1 (50.00%) DynamoDB
1 1 (50.00%) Amazon ELB
1 1 (50.00%) Metadata Management
1 1 (50.00%) Docker
1 1 (50.00%) Pandas
1 1 (50.00%) Apache Spark
1 1 (50.00%) Kubernetes
1 1 (50.00%) scikit-learn
1 1 (50.00%) Spark SQL
1 1 (50.00%) TensorFlow
1 1 (50.00%) Terraform
1 1 (50.00%) Lambda Expressions
1 1 (50.00%) Keras
1 1 (50.00%) Databricks

Operations Engineer Skill Set
Co-occurring Skills and Capabilities in Tyne and Wear 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:

Application Platforms
1 1 (50.00%) Apache Spark
Cloud Services
1 1 (50.00%) Amazon EKS
1 1 (50.00%) Amazon ELB
1 1 (50.00%) Amazon S3
1 1 (50.00%) AWS
Database & Business Intelligence
1 1 (50.00%) Delta Lake
1 1 (50.00%) DynamoDB
1 1 (50.00%) Metadata
1 1 (50.00%) Spark SQL
Development Applications
1 1 (50.00%) MLflow
General
1 1 (50.00%) Social Skills
Libraries, Frameworks & Software Standards
1 1 (50.00%) Keras
1 1 (50.00%) Lambda Expressions
1 1 (50.00%) Metaflow
1 1 (50.00%) NumPy
1 1 (50.00%) Pandas
1 1 (50.00%) PySpark
1 1 (50.00%) PyTorch
1 1 (50.00%) scikit-learn
1 1 (50.00%) TensorFlow
1 1 (50.00%) YAML
Miscellaneous
1 1 (50.00%) Linux Command Line
Operating Systems
1 1 (50.00%) Unix
Processes & Methodologies
1 1 (50.00%) Artificial Intelligence
1 1 (50.00%) CI/CD
1 1 (50.00%) Containerisation
1 1 (50.00%) Data Science
1 1 (50.00%) Deployment Automation
1 1 (50.00%) Information Security
1 1 (50.00%) Infrastructure Engineering
1 1 (50.00%) Machine Learning
1 1 (50.00%) Metadata Management
1 1 (50.00%) MLOps
1 1 (50.00%) OO
1 1 (50.00%) OOP
1 1 (50.00%) OWASP
1 1 (50.00%) Time Management
1 1 (50.00%) Unit Testing
1 1 (50.00%) Visualisation
Programming Languages
1 1 (50.00%) Python
1 1 (50.00%) SQL
System Software
1 1 (50.00%) Docker
Systems Management
1 1 (50.00%) Kubeflow
1 1 (50.00%) Kubernetes
1 1 (50.00%) Terraform
Vendors
1 1 (50.00%) Databricks