GCP Data Engineer Jobs with Hybrid/Remote/WFH Options

Data Engineer - Google Cloud Platform
UK > Work from Home

The median Data Engineer - Google Cloud Platform salary for remote or hybrid work is £65,868 per year, according to job vacancies posted during the 6 months leading to 1 May 2025.

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

6 months to
1 May 2025
Same period 2024 Same period 2023
Rank 394 590 648
Rank change year-on-year +196 +58 +183
Permanent jobs requiring a GCP Data Engineer 3 2 25
As % of all permanent jobs with a WFH option 0.020% 0.006% 0.058%
As % of the Job Titles category 0.022% 0.006% 0.061%
Number of salaries quoted 2 2 17
10th Percentile £50,611 - £51,500
25th Percentile £55,683 £52,500 £61,180
Median annual salary (50th Percentile) £65,868 £55,000 £69,447
Median % change year-on-year +19.76% -20.80% -15.82%
75th Percentile £76,511 £57,500 £103,750
90th Percentile £81,856 - £115,000
UK median annual salary £65,868 £70,000 £81,250
% change year-on-year -5.90% -13.85% +1.56%

All Permanent IT Job Vacancies
Work from Home

For comparison with the information above, the following table provides summary statistics for all permanent IT job vacancies with WFH or hybrid options. 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 Work from Home with a recognized job title 13,554 32,482 41,080
% of permanent jobs with a recognized job title 90.64% 95.99% 96.08%
Number of salaries quoted 9,860 24,960 29,208
10th Percentile £30,000 £33,000 £36,500
25th Percentile £43,750 £42,500 £47,250
Median annual salary (50th Percentile) £60,000 £56,000 £62,500
Median % change year-on-year +7.14% -10.40% +4.17%
75th Percentile £77,500 £75,000 £81,250
90th Percentile £100,000 £92,500 £100,000
UK median annual salary £57,500 £52,777 £60,000
% change year-on-year +8.95% -12.04% -

GCP Data Engineer
Trend for Jobs with a WFH Option

Job vacancies with remote working options which featured GCP Data Engineer in the job title as a proportion of all IT jobs advertised.

GCP Data Engineer trend for jobs with Hybrid/Remote/WFH options

GCP Data Engineer
Salary Trend for Jobs with a WFH Option

3-month moving average salary quoted in job vacancies with remote working options citing GCP Data Engineer.

GCP Data Engineer salary trend for jobs with a WFH option

GCP Data Engineer
Salary Histogram for Jobs with a WFH Option

Salary distribution for jobs with remote working options citing GCP Data Engineer over the 6 months to 1 May 2025.

GCP Data Engineer salary histogram for jobs with a WFH option

GCP Data Engineer Skill Set
Top 30 Co-occurring Skills and Capabilities in Job Vacancies with WFH Options

For the 6 months to 1 May 2025, GCP Data 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 jobs with hybrid or remote work options featuring GCP Data Engineer in the job title.

1 3 (100.00%) Oracle
1 3 (100.00%) Oracle Forms
1 3 (100.00%) Finance
1 3 (100.00%) Banking
2 2 (66.67%) Containerisation
2 2 (66.67%) Apache Beam
2 2 (66.67%) Data Pipeline
2 2 (66.67%) CI/CD
2 2 (66.67%) Feature Engineering
2 2 (66.67%) Data Lake
2 2 (66.67%) TDD
2 2 (66.67%) Flink
2 2 (66.67%) Legal
2 2 (66.67%) Teradata
2 2 (66.67%) Continuous Integration
2 2 (66.67%) Python
2 2 (66.67%) Data Warehouse
2 2 (66.67%) SQL Server
2 2 (66.67%) Java
2 2 (66.67%) SQL
2 2 (66.67%) Scala
2 2 (66.67%) Hadoop
2 2 (66.67%) Azure
2 2 (66.67%) Machine Learning
2 2 (66.67%) Big Data
2 2 (66.67%) Kafka
2 2 (66.67%) Go
2 2 (66.67%) Relational Database
2 2 (66.67%) Docker
2 2 (66.67%) Mentoring

GCP Data Engineer Skill Set
Co-occurring Skills and Capabilities with WFH Options 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 2 (66.67%) Apache Spark
Business Applications
1 1 (33.33%) Oracle ERP
Cloud Services
1 2 (66.67%) Azure
1 2 (66.67%) GCP
Database & Business Intelligence
1 2 (66.67%) Big Data
1 2 (66.67%) Data Lake
1 2 (66.67%) Data Warehouse
1 2 (66.67%) Flink
1 2 (66.67%) Hadoop
1 2 (66.67%) Relational Database
1 2 (66.67%) SQL Server
Development Applications
1 3 (100.00%) Oracle Forms
General
1 3 (100.00%) Banking
1 3 (100.00%) Finance
2 2 (66.67%) Legal
3 1 (33.33%) Retail
Libraries, Frameworks & Software Standards
1 2 (66.67%) Apache Beam
1 2 (66.67%) Kafka
Miscellaneous
1 2 (66.67%) Data Structures
2 1 (33.33%) Reference Data
Processes & Methodologies
1 2 (66.67%) CI/CD
1 2 (66.67%) Containerisation
1 2 (66.67%) Continuous Delivery
1 2 (66.67%) Continuous Integration
1 2 (66.67%) Data Pipeline
1 2 (66.67%) Feature Engineering
1 2 (66.67%) Machine Learning
1 2 (66.67%) Mentoring
1 2 (66.67%) TDD
2 1 (33.33%) Agile
2 1 (33.33%) Data Integration
2 1 (33.33%) Data Mapping
2 1 (33.33%) Data Modelling
2 1 (33.33%) Domain Models
2 1 (33.33%) ERP
2 1 (33.33%) ETL
2 1 (33.33%) SDLC
2 1 (33.33%) Software Engineering
Programming Languages
1 2 (66.67%) Go
1 2 (66.67%) Java
1 2 (66.67%) Python
1 2 (66.67%) Scala
1 2 (66.67%) SQL
System Software
1 2 (66.67%) Docker
Systems Management
1 2 (66.67%) Kubernetes
Vendors
1 3 (100.00%) Oracle
2 2 (66.67%) Teradata