Period
to 15 October 2018

The following table provides summary statistics for permanent job vacancies advertised in Bristol with a requirement for Data Engineering skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Data Engineering over the 6 months to 15 October 2018 with a comparison to the same period in the previous 2 years.

Data Engineering
South West > Bristol
6 months to
15 Oct 2018
Same period 2017 Same period 2016
Rank 178 196 177
Rank change year-on-year +18 -19 -
Permanent jobs citing Data Engineering 15 11 3
As % of all permanent IT jobs advertised in Bristol 0.41% 0.29% 0.094%
As % of the Processes & Methodologies category 0.44% 0.31% 0.10%
Number of salaries quoted 15 11 2
Bristol median annual salary £57,500 £57,500 £55,000
Median salary % change year-on-year - +4.55% -
10th Percentile £45,550 £45,000 £47,750
90th Percentile £73,750 £82,500 £62,250
South West median annual salary £60,000 £50,000 £55,000
% change year-on-year +20.00% -9.09% +57.14%

Data Engineering is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Bristol with a requirement for process or methodology skills.

All Process and Methodology Skills
Bristol
Permanent vacancies with a requirement for process or methodology skills 3,426 3,524 2,910
As % of all permanent IT jobs advertised in Bristol 93.22% 92.83% 91.54%
Number of salaries quoted 2,794 2,909 2,520
Bristol median annual salary £45,000 £44,000 £42,500
Median salary % change year-on-year +2.27% +3.53% +6.25%
10th Percentile £26,250 £26,250 £27,250
90th Percentile £67,500 £67,500 £67,500
South West median annual salary £43,750 £42,500 £40,000
% change year-on-year +2.94% +6.25% -

Data Engineering
Job Vacancy Trend in Bristol

Job postings citing Data Engineering as a percentage of all IT jobs advertised in Bristol.

Job vacancy trend for Data Engineering in Bristol

Data Engineering
Salary Trend in Bristol

This chart provides the 3-month moving average for salaries quoted in permanent IT jobs citing Data Engineering in Bristol.

Salary trend for Data Engineering in Bristol

Data Engineering
Salary Histogram in Bristol

The salary distribution of IT jobs citing Data Engineering in Bristol over the 6 months to 15 October 2018.

Salary histogram for Data Engineering in Bristol

For the 6 months to 15 October 2018, IT jobs citing Data Engineering also mentioned the following skills in order of popularity. The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Bristol region with a requirement for Data Engineering.

1 14 (93.33%) Data Science
2 13 (86.67%) Machine Learning
3 12 (80.00%) Amazon AWS
4 11 (73.33%) Python
5 10 (66.67%) Agile Software Development
6 9 (60.00%) NoSQL
7 8 (53.33%) Neo4j
7 8 (53.33%) MongoDB
7 8 (53.33%) Apache Cassandra
7 8 (53.33%) Big Data
7 8 (53.33%) Relational Database
7 8 (53.33%) Amazon Redshift
7 8 (53.33%) Amazon Kinesis
7 8 (53.33%) PostgreSQL
7 8 (53.33%) Use Case
7 8 (53.33%) RDBMS
8 6 (40.00%) SQL
8 6 (40.00%) Software Engineering
8 6 (40.00%) Algorithms
9 5 (33.33%) SDLC
9 5 (33.33%) Microservices
9 5 (33.33%) Scrum
10 4 (26.67%) Google
10 4 (26.67%) TDD
10 4 (26.67%) Amazon EC2
10 4 (26.67%) Amazon S3
10 4 (26.67%) C#
10 4 (26.67%) Java
10 4 (26.67%) AWS Lambda
10 4 (26.67%) Google Cloud Platform

Data Engineering
Co-occurring IT Skills in Bristol by Category

The follow tables expand on the table above by listing co-occurrences grouped by category. The same job type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:

Application Platforms
1 3 (20.00%) Apache Spark
Cloud Services
1 12 (80.00%) Amazon AWS
2 8 (53.33%) Amazon Kinesis
3 4 (26.67%) Amazon EC2
3 4 (26.67%) Amazon S3
3 4 (26.67%) AWS Lambda
3 4 (26.67%) Google Cloud Platform
3 4 (26.67%) Serverless
Communications & Networking
1 3 (20.00%) MQTT
2 2 (13.33%) Internet
Database & Business Intelligence
1 9 (60.00%) NoSQL
2 8 (53.33%) Amazon Redshift
2 8 (53.33%) Apache Cassandra
2 8 (53.33%) Big Data
2 8 (53.33%) MongoDB
2 8 (53.33%) Neo4j
2 8 (53.33%) PostgreSQL
2 8 (53.33%) RDBMS
2 8 (53.33%) Relational Database
3 3 (20.00%) Amazon DynamoDB
4 1 (6.67%) BusinessObjects
4 1 (6.67%) SAP Data Services
General
1 3 (20.00%) Manufacturing
2 1 (6.67%) Electronics
2 1 (6.67%) Finance
2 1 (6.67%) Marketing
2 1 (6.67%) Telecoms
Job Titles
1 9 (60.00%) Data Engineer
2 4 (26.67%) Development Manager
2 4 (26.67%) Software Development Manager
2 4 (26.67%) Software Manager
3 3 (20.00%) AWS Engineer
4 1 (6.67%) Big Data Manager
4 1 (6.67%) Data Manager
4 1 (6.67%) Data Science Manager
4 1 (6.67%) Python Engineer
4 1 (6.67%) SAP Engineer
Libraries, Frameworks & Software Standards
1 3 (20.00%) Kafka
1 3 (20.00%) NumPy
1 3 (20.00%) Pandas
1 3 (20.00%) SciPy
1 3 (20.00%) TensorFlow
1 3 (20.00%) Web Services
2 2 (13.33%) Keras
2 2 (13.33%) Theano
Miscellaneous
1 6 (40.00%) Algorithms
2 2 (13.33%) Internet of Things
3 1 (6.67%) SCADA
Processes & Methodologies
1 14 (93.33%) Data Science
2 13 (86.67%) Machine Learning
3 10 (66.67%) Agile Software Development
4 8 (53.33%) Use Case
5 6 (40.00%) Software Engineering
6 5 (33.33%) Microservices
6 5 (33.33%) Scrum
6 5 (33.33%) SDLC
7 4 (26.67%) TDD
8 3 (20.00%) Artificial Intelligence
8 3 (20.00%) Continuous Integration
8 3 (20.00%) ETL
8 3 (20.00%) Test Automation
9 2 (13.33%) Analytics
9 2 (13.33%) Data Munging
9 2 (13.33%) Deep Learning
10 1 (6.67%) BDD
10 1 (6.67%) Business Intelligence
10 1 (6.67%) Digital Marketing
10 1 (6.67%) Performance Tuning
Programming Languages
1 11 (73.33%) Python
2 6 (40.00%) SQL
3 4 (26.67%) C#
3 4 (26.67%) Java
4 3 (20.00%) C++
4 3 (20.00%) JavaScript
5 2 (13.33%) R
System Software
1 1 (6.67%) Docker
Systems Management
1 1 (6.67%) Kubernetes
Vendors
1 4 (26.67%) Google
2 2 (13.33%) SAP