Scylla Jobs in Edinburgh

ScyllaDB Scylla
Scotland > Edinburgh

The table below provides summary statistics for permanent job vacancies advertised in Edinburgh requiring Scylla skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Scylla over the 6 months leading up to 12 June 2024, comparing them to the same period in the previous two years.

6 months to
12 Jun 2024
Same period 2023 Same period 2022
Rank 94 - -
Rank change year-on-year - - -
Permanent jobs citing Scylla 12 0 0
As % of all permanent jobs advertised in Edinburgh 0.76% - -
As % of the Database & Business Intelligence category 4.69% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Scotland median annual salary - - -

All Database and Business Intelligence Skills
Edinburgh

Scylla 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 Edinburgh.

Permanent vacancies with a requirement for database or business intelligence skills 256 405 505
As % of all permanent jobs advertised in Edinburgh 16.13% 22.44% 19.15%
Number of salaries quoted 148 227 287
10th Percentile £39,300 £42,300 £36,250
25th Percentile £48,063 £50,000 £45,000
Median annual salary (50th Percentile) £61,000 £65,000 £57,500
Median % change year-on-year -6.15% +13.04% +15.00%
75th Percentile £72,450 £78,108 £68,275
90th Percentile £80,000 £97,500 £75,000
Scotland median annual salary £52,500 £60,000 £55,000
% change year-on-year -12.50% +9.09% +15.79%

Scylla
Job Vacancy Trend in Edinburgh

Job postings citing Scylla as a proportion of all IT jobs advertised in Edinburgh.

Job vacancy trend for Scylla in Edinburgh

Scylla
Salary Trend in Edinburgh

3-month moving average salary quoted in jobs citing Scylla in Edinburgh.

Salary trend for Scylla in Edinburgh

Scylla
Co-occurring Skills and Capabilities in Edinburgh 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 12 (100.00%) Apache Spark
Cloud Services
1 12 (100.00%) Amazon S3
1 12 (100.00%) Amazon SQS
1 12 (100.00%) AWS
1 12 (100.00%) GCP
1 12 (100.00%) Google Docs
1 12 (100.00%) Lucidchart
1 12 (100.00%) Miro
1 12 (100.00%) SaaS
1 12 (100.00%) Slack
Database & Business Intelligence
1 12 (100.00%) Big Data
1 12 (100.00%) Elasticsearch
1 12 (100.00%) Hadoop
1 12 (100.00%) Redis
General
1 12 (100.00%) Social Skills
2 9 (75.00%) Inclusion and Diversity
Job Titles
1 12 (100.00%) Principal Engineer
1 12 (100.00%) Principal Software Engineer
1 12 (100.00%) Software Engineer
Libraries, Frameworks & Software Standards
1 12 (100.00%) GraphQL
1 12 (100.00%) Kafka
Miscellaneous
1 12 (100.00%) Algorithms
1 12 (100.00%) Data Structures
Processes & Methodologies
1 12 (100.00%) Computer Security
1 12 (100.00%) Cyber Threat Intelligence
1 12 (100.00%) Cybersecurity
1 12 (100.00%) Data Science
1 12 (100.00%) High Availability
1 12 (100.00%) Problem-Solving
1 12 (100.00%) Software Engineering
1 12 (100.00%) Threat Intelligence
1 12 (100.00%) User Experience
1 12 (100.00%) UX Research
Programming Languages
1 12 (100.00%) Bash
1 12 (100.00%) Go
1 12 (100.00%) Java
1 12 (100.00%) Python
1 12 (100.00%) Scala
Systems Management
1 12 (100.00%) Kubernetes
Vendors
1 12 (100.00%) Dell
1 12 (100.00%) Google