Python Data Engineer Jobs with Work from Home Options

Python Data Engineer
UK > Work from Home

The median Python Data Engineer salary for remote or hybrid work is £82,500 per year, according to job vacancies posted during the 6 months leading to 12 June 2024.

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

6 months to
12 Jun 2024
Same period 2023 Same period 2022
Rank 523 531 798
Rank change year-on-year +8 +267 -272
Permanent jobs requiring a Python Data Engineer 79 102 103
As % of all permanent jobs with a WFH option 0.22% 0.27% 0.14%
As % of the Job Titles category 0.23% 0.28% 0.14%
Number of salaries quoted 74 97 91
10th Percentile £55,350 £62,500 -
25th Percentile £62,500 £87,500 £50,000
Median annual salary (50th Percentile) £82,500 £130,000 £80,000
Median % change year-on-year -36.54% +62.50% +18.52%
75th Percentile £110,000 £150,000 £95,000
90th Percentile £120,000 £160,000 £105,000
UK median annual salary £80,000 £110,000 £80,000
% change year-on-year -27.27% +37.50% +18.52%

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 34,224 35,954 73,616
% of permanent jobs with a recognized job title 96.28% 95.93% 97.29%
Number of salaries quoted 25,903 26,270 42,683
10th Percentile £33,250 £36,875 £36,250
25th Percentile £42,500 £47,447 £45,500
Median annual salary (50th Percentile) £55,000 £62,500 £60,000
Median % change year-on-year -12.00% +4.17% +9.09%
75th Percentile £75,000 £81,250 £80,000
90th Percentile £93,750 £100,000 £95,000
UK median annual salary £52,500 £60,000 £60,000
% change year-on-year -12.50% - +9.09%

Python Data Engineer
Trend for Jobs with a WFH Option

Job vacancies with a work from home option which featured Python Data Engineer in the job title as a proportion of all IT jobs advertised.

Python Data Engineer trend for jobs with a WFH option

Python Data Engineer
Salary Trend for Jobs with a WFH Option

3-month moving average salary quoted in job vacancies with a work from home option citing Python Data Engineer.

Python Data Engineer salary trend for jobs with a WFH option

Python Data Engineer
Salary Histogram for Jobs with a WFH Option

Salary distribution for jobs with a work from home option citing Python Data Engineer over the 6 months to 12 June 2024.

Python Data Engineer salary histogram for jobs with a WFH option

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

For the 6 months to 12 June 2024, Python 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 remote work options featuring Python Data Engineer in the job title.

1 79 (100.00%) Python
2 58 (73.42%) SQL
3 52 (65.82%) Azure
4 45 (56.96%) AWS
5 38 (48.10%) Data Engineering
6 33 (41.77%) Analytics
7 30 (37.97%) Data Lake
8 29 (36.71%) Databricks
8 29 (36.71%) Finance
9 27 (34.18%) Agile
10 26 (32.91%) Data Pipeline
11 25 (31.65%) Power Platform
11 25 (31.65%) Power BI
12 24 (30.38%) PySpark
13 23 (29.11%) Apache Airflow
14 21 (26.58%) ETL
14 21 (26.58%) dbt
15 19 (24.05%) Azure Data Factory
15 19 (24.05%) Data Science
15 19 (24.05%) Business Intelligence
15 19 (24.05%) Kubernetes
16 18 (22.78%) PostgreSQL
17 17 (21.52%) Data Warehouse
17 17 (21.52%) NoSQL
17 17 (21.52%) GCP
18 16 (20.25%) Social Skills
18 16 (20.25%) Amazon Athena
19 15 (18.99%) Software Engineering
20 14 (17.72%) Investment Management
20 14 (17.72%) Java

Python 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 23 (29.11%) Apache Airflow
2 13 (16.46%) Apache Spark
3 10 (12.66%) Apache
4 3 (3.80%) Confluence
Cloud Services
1 52 (65.82%) Azure
2 45 (56.96%) AWS
3 25 (31.65%) Power Platform
4 21 (26.58%) dbt
5 19 (24.05%) Azure Data Factory
6 17 (21.52%) GCP
7 14 (17.72%) Azure Synapse Analytics
7 14 (17.72%) Dagster
8 11 (13.92%) Amazon S3
9 9 (11.39%) Azure Data Lake Analytics
9 9 (11.39%) Azure DevOps
10 5 (6.33%) Snowflake
11 4 (5.06%) Amazon Kinesis
11 4 (5.06%) Azure Cosmos DB
11 4 (5.06%) GitHub
11 4 (5.06%) SaaS
12 3 (3.80%) Google Analytics
13 2 (2.53%) Amazon ECS
13 2 (2.53%) Amazon EMR
13 2 (2.53%) AWS Step Functions
Communications & Networking
1 9 (11.39%) Network Security
Database & Business Intelligence
1 30 (37.97%) Data Lake
2 25 (31.65%) Power BI
3 18 (22.78%) PostgreSQL
4 17 (21.52%) Data Warehouse
4 17 (21.52%) NoSQL
5 16 (20.25%) Amazon Athena
6 13 (16.46%) Tableau
7 12 (15.19%) Dremio
8 10 (12.66%) MongoDB
9 9 (11.39%) Amazon Redshift
9 9 (11.39%) Azure SQL Database
9 9 (11.39%) Microsoft Analysis Services
10 8 (10.13%) Hadoop
11 5 (6.33%) BigQuery
11 5 (6.33%) SQL Server
12 4 (5.06%) Data Mining
13 3 (3.80%) Airbyte
13 3 (3.80%) Looker
13 3 (3.80%) MySQL
14 2 (2.53%) Metadata
Development Applications
1 5 (6.33%) MLflow
2 3 (3.80%) JIRA
General
1 29 (36.71%) Finance
2 16 (20.25%) Social Skills
3 12 (15.19%) Banking
3 12 (15.19%) Front Office
4 11 (13.92%) Games
5 10 (12.66%) Inclusion and Diversity
6 7 (8.86%) Analytical Skills
7 6 (7.59%) Law
8 4 (5.06%) Agriculture
9 2 (2.53%) Retail
Libraries, Frameworks & Software Standards
1 24 (30.38%) PySpark
2 12 (15.19%) NumPy
2 12 (15.19%) Pandas
2 12 (15.19%) SciPy
3 8 (10.13%) Kafka
4 3 (3.80%) Apache Beam
5 2 (2.53%) AWS CDK
5 2 (2.53%) FastAPI
5 2 (2.53%) Flask
5 2 (2.53%) Lambda Expressions
Miscellaneous
1 10 (12.66%) Client/Server
2 9 (11.39%) Enterprise Software
3 4 (5.06%) Cloud Native
3 4 (5.06%) Online Games
4 3 (3.80%) Greenfield Project
4 3 (3.80%) Mainframe
5 2 (2.53%) Enterprise Cloud
5 2 (2.53%) Product Ownership
6 1 (1.27%) Algorithms
Operating Systems
1 10 (12.66%) Linux
1 10 (12.66%) Unix
Processes & Methodologies
1 38 (48.10%) Data Engineering
2 33 (41.77%) Analytics
3 27 (34.18%) Agile
4 26 (32.91%) Data Pipeline
5 21 (26.58%) ETL
6 19 (24.05%) Business Intelligence
6 19 (24.05%) Data Science
7 15 (18.99%) Software Engineering
8 14 (17.72%) Asset Management
8 14 (17.72%) Investment Management
8 14 (17.72%) Platform Engineering
9 12 (15.19%) Data Modelling
9 12 (15.19%) Data Visualisation
9 12 (15.19%) Fintech
9 12 (15.19%) Visualisation
10 11 (13.92%) Data Integration
10 11 (13.92%) DevOps
10 11 (13.92%) Problem-Solving
11 10 (12.66%) Data Governance
12 9 (11.39%) Data Analytics
Programming Languages
1 79 (100.00%) Python
2 58 (73.42%) SQL
3 14 (17.72%) Java
4 9 (11.39%) Data Analysis Expressions
4 9 (11.39%) U-SQL
5 4 (5.06%) C#
Qualifications
1 9 (11.39%) Microsoft Certification
Quality Assurance & Compliance
1 8 (10.13%) Data Quality
2 4 (5.06%) Solvency II
3 2 (2.53%) QA
System Software
1 4 (5.06%) Docker
Systems Management
1 19 (24.05%) Kubernetes
2 3 (3.80%) Terraform
Vendors
1 29 (36.71%) Databricks
2 10 (12.66%) Oracle
3 9 (11.39%) Microsoft
4 3 (3.80%) Google
4 3 (3.80%) Teradata
4 3 (3.80%) YouTube
5 2 (2.53%) Informatica