HDFS Jobs in Reading

Hadoop Distributed File System (HDFS)
Berkshire > Reading

The table below provides summary statistics for permanent job vacancies advertised in Reading requiring HDFS skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited HDFS over the 6 months leading up to 8 May 2025, comparing them to the same period in the previous two years.

6 months to
8 May 2025
Same period 2024 Same period 2023
Rank 64 - -
Rank change year-on-year - - -
Permanent jobs citing HDFS 2 0 0
As % of all permanent jobs advertised in Reading 0.39% - -
As % of the System Software category 1.96% - -
Number of salaries quoted 2 0 0
10th Percentile £95,500 - -
25th Percentile £96,250 - -
Median annual salary (50th Percentile) £105,000 - -
75th Percentile £116,250 - -
90th Percentile £118,500 - -
Berkshire median annual salary £105,000 - -

All System Software Skills
Reading

HDFS falls under the System Software category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring system software skills in Reading.

Permanent vacancies with a requirement for system software skills 102 282 277
As % of all permanent jobs advertised in Reading 19.73% 16.51% 17.33%
Number of salaries quoted 55 222 127
10th Percentile £34,000 £27,750 £23,500
25th Percentile £49,375 £34,000 £26,625
Median annual salary (50th Percentile) £67,500 £52,550 £50,000
Median % change year-on-year +28.45% +5.10% -
75th Percentile £83,750 £59,000 £74,000
90th Percentile £112,500 £81,000 £83,750
Berkshire median annual salary £70,000 £55,000 £48,850
% change year-on-year +27.27% +12.59% -2.30%

HDFS
Job Vacancy Trend in Reading

Job postings citing HDFS as a proportion of all IT jobs advertised in Reading.

Job vacancy trend for HDFS in Reading

HDFS
Salary Trend in Reading

3-month moving average salary quoted in jobs citing HDFS in Reading.

Salary trend for HDFS in Reading

HDFS
Co-occurring Skills and Capabilities in Reading 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 (100.00%) Apache
1 2 (100.00%) Apache Spark
Database & Business Intelligence
1 2 (100.00%) Hadoop
1 2 (100.00%) Pinecone
1 2 (100.00%) Weaviate
Development Applications
1 2 (100.00%) MLflow
General
1 2 (100.00%) Analytical Skills
1 2 (100.00%) Finance
Job Titles
1 2 (100.00%) Artificial Intelligence Engineer
2 1 (50.00%) Lead
2 1 (50.00%) Senior
Libraries, Frameworks & Software Standards
1 2 (100.00%) Kafka
1 2 (100.00%) NumPy
1 2 (100.00%) Pandas
1 2 (100.00%) PyTorch
1 2 (100.00%) scikit-learn
1 2 (100.00%) TensorFlow
Processes & Methodologies
1 2 (100.00%) Analytics
1 2 (100.00%) Artificial Intelligence
1 2 (100.00%) Automated Trading
1 2 (100.00%) Computer Science
1 2 (100.00%) Data Pipeline
1 2 (100.00%) Decision-Making
1 2 (100.00%) Fintech
1 2 (100.00%) Generative AI
1 2 (100.00%) High-Frequency Trading
1 2 (100.00%) Machine Learning
1 2 (100.00%) MLOps
1 2 (100.00%) Multi-Agent System
1 2 (100.00%) Natural Language Processing
1 2 (100.00%) Performance Optimisation
1 2 (100.00%) Predictive Analytics
1 2 (100.00%) Problem-Solving
1 2 (100.00%) Quantitative Finance
1 2 (100.00%) Reinforcement Learning
1 2 (100.00%) Sentiment Analysis
1 2 (100.00%) User Experience
Programming Languages
1 2 (100.00%) C++
1 2 (100.00%) Java
1 2 (100.00%) Python
1 2 (100.00%) R
Qualifications
1 2 (100.00%) Computer Science Degree
1 2 (100.00%) Degree
System Software
1 2 (100.00%) Docker
Systems Management
1 2 (100.00%) Kubeflow
1 2 (100.00%) Kubernetes